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You searched for subject:(computational protein design). Showing records 1 – 30 of 63 total matches.

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University of Ottawa

1. Davey, James A. Multistate Computational Protein Design: Theories, Methods, and Applications .

Degree: 2016, University of Ottawa

 Traditional computational protein design (CPD) calculations model sequence perturbations and evaluate their stabilities using a single fixed protein backbone template in an approach referred to… (more)

Subjects/Keywords: computational protein design; multistate design; protein engineering; molecular modeling; substrate multispecificity; protein stability; protein dynamics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Davey, J. A. (2016). Multistate Computational Protein Design: Theories, Methods, and Applications . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/35541

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Davey, James A. “Multistate Computational Protein Design: Theories, Methods, and Applications .” 2016. Thesis, University of Ottawa. Accessed July 10, 2020. http://hdl.handle.net/10393/35541.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Davey, James A. “Multistate Computational Protein Design: Theories, Methods, and Applications .” 2016. Web. 10 Jul 2020.

Vancouver:

Davey JA. Multistate Computational Protein Design: Theories, Methods, and Applications . [Internet] [Thesis]. University of Ottawa; 2016. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10393/35541.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Davey JA. Multistate Computational Protein Design: Theories, Methods, and Applications . [Thesis]. University of Ottawa; 2016. Available from: http://hdl.handle.net/10393/35541

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

2. Schweiker, Katrina Lynn. Computational Design and Experimental Characterization of Proteins with Increased Stability and Solubility.

Degree: PhD, Integrative Biosciences, 2009, Penn State University

 The ability to design proteins from first principles will provide an efficient way to develop stabilized proteins, which could have a profound impact on a… (more)

Subjects/Keywords: protein stability; protein engineering; computational design; protein folding

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APA (6th Edition):

Schweiker, K. L. (2009). Computational Design and Experimental Characterization of Proteins with Increased Stability and Solubility. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9400

Chicago Manual of Style (16th Edition):

Schweiker, Katrina Lynn. “Computational Design and Experimental Characterization of Proteins with Increased Stability and Solubility.” 2009. Doctoral Dissertation, Penn State University. Accessed July 10, 2020. https://etda.libraries.psu.edu/catalog/9400.

MLA Handbook (7th Edition):

Schweiker, Katrina Lynn. “Computational Design and Experimental Characterization of Proteins with Increased Stability and Solubility.” 2009. Web. 10 Jul 2020.

Vancouver:

Schweiker KL. Computational Design and Experimental Characterization of Proteins with Increased Stability and Solubility. [Internet] [Doctoral dissertation]. Penn State University; 2009. [cited 2020 Jul 10]. Available from: https://etda.libraries.psu.edu/catalog/9400.

Council of Science Editors:

Schweiker KL. Computational Design and Experimental Characterization of Proteins with Increased Stability and Solubility. [Doctoral Dissertation]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9400


Vanderbilt University

3. Morin, Andrew. The computational design of protein-ligand interfaces.

Degree: PhD, Chemical and Physical Biology, 2011, Vanderbilt University

 ANDREW MORIN Dissertation under the direction of Professor Jens Meiler. Interaction between protein and ligand is a fundamental mechanism in biology. The goal of my… (more)

Subjects/Keywords: computational protein design; Rosetta; ligand interface

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APA (6th Edition):

Morin, A. (2011). The computational design of protein-ligand interfaces. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-05182011-125917/ ;

Chicago Manual of Style (16th Edition):

Morin, Andrew. “The computational design of protein-ligand interfaces.” 2011. Doctoral Dissertation, Vanderbilt University. Accessed July 10, 2020. http://etd.library.vanderbilt.edu/available/etd-05182011-125917/ ;.

MLA Handbook (7th Edition):

Morin, Andrew. “The computational design of protein-ligand interfaces.” 2011. Web. 10 Jul 2020.

Vancouver:

Morin A. The computational design of protein-ligand interfaces. [Internet] [Doctoral dissertation]. Vanderbilt University; 2011. [cited 2020 Jul 10]. Available from: http://etd.library.vanderbilt.edu/available/etd-05182011-125917/ ;.

Council of Science Editors:

Morin A. The computational design of protein-ligand interfaces. [Doctoral Dissertation]. Vanderbilt University; 2011. Available from: http://etd.library.vanderbilt.edu/available/etd-05182011-125917/ ;


Duke University

4. Lowegard, Anna Ulrika. Novel Algorithms and Tools for Computational Protein Design with Applications to Drug Resistance Prediction, Antibody Design, Peptide Inhibitor Design, and Protein Stability Prediction .

Degree: 2019, Duke University

  Proteins are biological macromolecules made up of amino acids. Proteins range from enzymes to antibodies and perform their functions through a variety of mechanisms,… (more)

Subjects/Keywords: Computational chemistry; Biochemistry; Bioengineering; Algorithms; Computational protein design; OSPREY; Protein-protein interface; Protein stability; Protein structure

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APA (6th Edition):

Lowegard, A. U. (2019). Novel Algorithms and Tools for Computational Protein Design with Applications to Drug Resistance Prediction, Antibody Design, Peptide Inhibitor Design, and Protein Stability Prediction . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/18807

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lowegard, Anna Ulrika. “Novel Algorithms and Tools for Computational Protein Design with Applications to Drug Resistance Prediction, Antibody Design, Peptide Inhibitor Design, and Protein Stability Prediction .” 2019. Thesis, Duke University. Accessed July 10, 2020. http://hdl.handle.net/10161/18807.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lowegard, Anna Ulrika. “Novel Algorithms and Tools for Computational Protein Design with Applications to Drug Resistance Prediction, Antibody Design, Peptide Inhibitor Design, and Protein Stability Prediction .” 2019. Web. 10 Jul 2020.

Vancouver:

Lowegard AU. Novel Algorithms and Tools for Computational Protein Design with Applications to Drug Resistance Prediction, Antibody Design, Peptide Inhibitor Design, and Protein Stability Prediction . [Internet] [Thesis]. Duke University; 2019. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10161/18807.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lowegard AU. Novel Algorithms and Tools for Computational Protein Design with Applications to Drug Resistance Prediction, Antibody Design, Peptide Inhibitor Design, and Protein Stability Prediction . [Thesis]. Duke University; 2019. Available from: http://hdl.handle.net/10161/18807

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

5. Fazelinia, Hossein. COMPUTATIONAL DESIGN AND EXPERIMENTAL CHARACTERIZATION OF PROTEINS WITH NOVEL FUNCTIONS.

Degree: PhD, Chemical Engineering, 2009, Penn State University

Protein engineering involves the design of known protein structures to introduce an improved or completely novel function. This is accomplished by either modifying the existing… (more)

Subjects/Keywords: OptGraft; Protein engineering; Computational protein design; Enzyme cofactor alteration; IPRO

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APA (6th Edition):

Fazelinia, H. (2009). COMPUTATIONAL DESIGN AND EXPERIMENTAL CHARACTERIZATION OF PROTEINS WITH NOVEL FUNCTIONS. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9001

Chicago Manual of Style (16th Edition):

Fazelinia, Hossein. “COMPUTATIONAL DESIGN AND EXPERIMENTAL CHARACTERIZATION OF PROTEINS WITH NOVEL FUNCTIONS.” 2009. Doctoral Dissertation, Penn State University. Accessed July 10, 2020. https://etda.libraries.psu.edu/catalog/9001.

MLA Handbook (7th Edition):

Fazelinia, Hossein. “COMPUTATIONAL DESIGN AND EXPERIMENTAL CHARACTERIZATION OF PROTEINS WITH NOVEL FUNCTIONS.” 2009. Web. 10 Jul 2020.

Vancouver:

Fazelinia H. COMPUTATIONAL DESIGN AND EXPERIMENTAL CHARACTERIZATION OF PROTEINS WITH NOVEL FUNCTIONS. [Internet] [Doctoral dissertation]. Penn State University; 2009. [cited 2020 Jul 10]. Available from: https://etda.libraries.psu.edu/catalog/9001.

Council of Science Editors:

Fazelinia H. COMPUTATIONAL DESIGN AND EXPERIMENTAL CHARACTERIZATION OF PROTEINS WITH NOVEL FUNCTIONS. [Doctoral Dissertation]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9001


University of Ottawa

6. Gagnon, Olivier. Development and Validation of a Structure-Based Computational Method for the Prediction of Protein Specificity Profiles .

Degree: 2019, University of Ottawa

 Post-translational modification (PTM) of proteins by enzymes such as methyltransferases, kinases and deacetylases play a crucial role in the regulation of many metabolic pathways. Determining… (more)

Subjects/Keywords: Protein; Specificity; VIPER; Peptide Arrray; Web; Computational Protein Design

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APA (6th Edition):

Gagnon, O. (2019). Development and Validation of a Structure-Based Computational Method for the Prediction of Protein Specificity Profiles . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/39643

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gagnon, Olivier. “Development and Validation of a Structure-Based Computational Method for the Prediction of Protein Specificity Profiles .” 2019. Thesis, University of Ottawa. Accessed July 10, 2020. http://hdl.handle.net/10393/39643.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gagnon, Olivier. “Development and Validation of a Structure-Based Computational Method for the Prediction of Protein Specificity Profiles .” 2019. Web. 10 Jul 2020.

Vancouver:

Gagnon O. Development and Validation of a Structure-Based Computational Method for the Prediction of Protein Specificity Profiles . [Internet] [Thesis]. University of Ottawa; 2019. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10393/39643.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gagnon O. Development and Validation of a Structure-Based Computational Method for the Prediction of Protein Specificity Profiles . [Thesis]. University of Ottawa; 2019. Available from: http://hdl.handle.net/10393/39643

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Toronto

7. Sun, Mark George Ford. Strategies for Protein Engineering.

Degree: PhD, 2016, University of Toronto

 Proteins propagate information within a cell by interacting with other proteins, DNA, RNA, and small molecules, enabling a cell to adapt to its environment and… (more)

Subjects/Keywords: Computational Protein Design; Protein Engineering; Structural Biology; 0715

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APA (6th Edition):

Sun, M. G. F. (2016). Strategies for Protein Engineering. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/77408

Chicago Manual of Style (16th Edition):

Sun, Mark George Ford. “Strategies for Protein Engineering.” 2016. Doctoral Dissertation, University of Toronto. Accessed July 10, 2020. http://hdl.handle.net/1807/77408.

MLA Handbook (7th Edition):

Sun, Mark George Ford. “Strategies for Protein Engineering.” 2016. Web. 10 Jul 2020.

Vancouver:

Sun MGF. Strategies for Protein Engineering. [Internet] [Doctoral dissertation]. University of Toronto; 2016. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1807/77408.

Council of Science Editors:

Sun MGF. Strategies for Protein Engineering. [Doctoral Dissertation]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/77408


University of California – San Francisco

8. Ollikainen, Noah. Novel Algorithms and Benchmarks for Computational Protein Design.

Degree: Biological and Medical Informatics, 2014, University of California – San Francisco

Computational protein design aims to predict protein sequences that will fold into a given three-dimensional structure and perform a desired function. Though significant accomplishments in… (more)

Subjects/Keywords: Bioinformatics; Biophysics; Algorithms; Backbone Flexibility; Benchmarks; Computational Protein Design; Protein Evolution; Protein Structure

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APA (6th Edition):

Ollikainen, N. (2014). Novel Algorithms and Benchmarks for Computational Protein Design. (Thesis). University of California – San Francisco. Retrieved from http://www.escholarship.org/uc/item/21p932jz

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ollikainen, Noah. “Novel Algorithms and Benchmarks for Computational Protein Design.” 2014. Thesis, University of California – San Francisco. Accessed July 10, 2020. http://www.escholarship.org/uc/item/21p932jz.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ollikainen, Noah. “Novel Algorithms and Benchmarks for Computational Protein Design.” 2014. Web. 10 Jul 2020.

Vancouver:

Ollikainen N. Novel Algorithms and Benchmarks for Computational Protein Design. [Internet] [Thesis]. University of California – San Francisco; 2014. [cited 2020 Jul 10]. Available from: http://www.escholarship.org/uc/item/21p932jz.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ollikainen N. Novel Algorithms and Benchmarks for Computational Protein Design. [Thesis]. University of California – San Francisco; 2014. Available from: http://www.escholarship.org/uc/item/21p932jz

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

9. Woldring, Daniel. Constrained Diversification Enhances Protein Ligand Discovery and Evolution.

Degree: PhD, Chemical Engineering, 2017, University of Minnesota

 Engineered proteins have strongly benefited the effectiveness and variety of precision drugs, molecular diagnostic agents, and fundamental research reagents. A growing demand for new therapeutics… (more)

Subjects/Keywords: computational biology; deep sequencing; library design; protein engineering; protein-protein interaction; stability engineering

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APA (6th Edition):

Woldring, D. (2017). Constrained Diversification Enhances Protein Ligand Discovery and Evolution. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/191350

Chicago Manual of Style (16th Edition):

Woldring, Daniel. “Constrained Diversification Enhances Protein Ligand Discovery and Evolution.” 2017. Doctoral Dissertation, University of Minnesota. Accessed July 10, 2020. http://hdl.handle.net/11299/191350.

MLA Handbook (7th Edition):

Woldring, Daniel. “Constrained Diversification Enhances Protein Ligand Discovery and Evolution.” 2017. Web. 10 Jul 2020.

Vancouver:

Woldring D. Constrained Diversification Enhances Protein Ligand Discovery and Evolution. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/11299/191350.

Council of Science Editors:

Woldring D. Constrained Diversification Enhances Protein Ligand Discovery and Evolution. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/191350


University of Washington

10. Bryan, Cassie Marie. Computational Design of Hyperstable, De Novo Miniproteins Targeting PD-1.

Degree: PhD, 2018, University of Washington

Computational protein design has recently advanced to a new era with the de novo design of stable proteins targeting native protein ligands. In this dissertation,… (more)

Subjects/Keywords: Computational Design; PD-1; Protein Design; Protein Engineering; Yeast Display; Biochemistry; Bioengineering; Biological chemistry

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APA (6th Edition):

Bryan, C. M. (2018). Computational Design of Hyperstable, De Novo Miniproteins Targeting PD-1. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/40848

Chicago Manual of Style (16th Edition):

Bryan, Cassie Marie. “Computational Design of Hyperstable, De Novo Miniproteins Targeting PD-1.” 2018. Doctoral Dissertation, University of Washington. Accessed July 10, 2020. http://hdl.handle.net/1773/40848.

MLA Handbook (7th Edition):

Bryan, Cassie Marie. “Computational Design of Hyperstable, De Novo Miniproteins Targeting PD-1.” 2018. Web. 10 Jul 2020.

Vancouver:

Bryan CM. Computational Design of Hyperstable, De Novo Miniproteins Targeting PD-1. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1773/40848.

Council of Science Editors:

Bryan CM. Computational Design of Hyperstable, De Novo Miniproteins Targeting PD-1. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/40848


University of Washington

11. Yu, Shawn. Computational design of interleukin-2 mimetics.

Degree: PhD, 2015, University of Washington

 Interleukin-2 is a cytokine that plays a central role in immune system homeostasis, exerting paradoxical immunostimulatory and immunoregulatory effects based on its interactions with various… (more)

Subjects/Keywords: computational design; interleukin-2; protein design; protein engineering; Rosetta; Biochemistry; Immunology; bioengineering

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APA (6th Edition):

Yu, S. (2015). Computational design of interleukin-2 mimetics. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/33593

Chicago Manual of Style (16th Edition):

Yu, Shawn. “Computational design of interleukin-2 mimetics.” 2015. Doctoral Dissertation, University of Washington. Accessed July 10, 2020. http://hdl.handle.net/1773/33593.

MLA Handbook (7th Edition):

Yu, Shawn. “Computational design of interleukin-2 mimetics.” 2015. Web. 10 Jul 2020.

Vancouver:

Yu S. Computational design of interleukin-2 mimetics. [Internet] [Doctoral dissertation]. University of Washington; 2015. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1773/33593.

Council of Science Editors:

Yu S. Computational design of interleukin-2 mimetics. [Doctoral Dissertation]. University of Washington; 2015. Available from: http://hdl.handle.net/1773/33593


Indian Institute of Science

12. Mudgal, Richa. Inferences on Structure and Function of Proteins from Sequence Data : Development of Methods and Applications.

Degree: 2015, Indian Institute of Science

 Structural and functional annotation of sequences of putative proteins encoded in the newly sequenced genomes pose an important challenge. While much progress has been made… (more)

Subjects/Keywords: Protien Structure Analysis; Proteins Sequences; Protein Structures; Computational Protein Design; Protein Sequence Space; NrichD Database; H37Rv Proteome; Protein Sequence Design; Mathamatics

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APA (6th Edition):

Mudgal, R. (2015). Inferences on Structure and Function of Proteins from Sequence Data : Development of Methods and Applications. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/2005/3877 ; http://etd.iisc.ernet.in/abstracts/4749/G26948-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mudgal, Richa. “Inferences on Structure and Function of Proteins from Sequence Data : Development of Methods and Applications.” 2015. Thesis, Indian Institute of Science. Accessed July 10, 2020. http://etd.iisc.ernet.in/2005/3877 ; http://etd.iisc.ernet.in/abstracts/4749/G26948-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mudgal, Richa. “Inferences on Structure and Function of Proteins from Sequence Data : Development of Methods and Applications.” 2015. Web. 10 Jul 2020.

Vancouver:

Mudgal R. Inferences on Structure and Function of Proteins from Sequence Data : Development of Methods and Applications. [Internet] [Thesis]. Indian Institute of Science; 2015. [cited 2020 Jul 10]. Available from: http://etd.iisc.ernet.in/2005/3877 ; http://etd.iisc.ernet.in/abstracts/4749/G26948-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mudgal R. Inferences on Structure and Function of Proteins from Sequence Data : Development of Methods and Applications. [Thesis]. Indian Institute of Science; 2015. Available from: http://etd.iisc.ernet.in/2005/3877 ; http://etd.iisc.ernet.in/abstracts/4749/G26948-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


UCLA

13. Nechay, Michael. Multiscale Modeling of Metalloenzymes: Design and Evolution.

Degree: Chemistry, 2017, UCLA

 With just a simple alphabet of natural amino acids and common metals, enzymes perform a spectacular number of reactions necessary for life on earth with… (more)

Subjects/Keywords: Computational chemistry; catalysis design; enzyme design; metal substitution; multiscale modeling; protein design

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APA (6th Edition):

Nechay, M. (2017). Multiscale Modeling of Metalloenzymes: Design and Evolution. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/6c0848pm

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nechay, Michael. “Multiscale Modeling of Metalloenzymes: Design and Evolution.” 2017. Thesis, UCLA. Accessed July 10, 2020. http://www.escholarship.org/uc/item/6c0848pm.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nechay, Michael. “Multiscale Modeling of Metalloenzymes: Design and Evolution.” 2017. Web. 10 Jul 2020.

Vancouver:

Nechay M. Multiscale Modeling of Metalloenzymes: Design and Evolution. [Internet] [Thesis]. UCLA; 2017. [cited 2020 Jul 10]. Available from: http://www.escholarship.org/uc/item/6c0848pm.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nechay M. Multiscale Modeling of Metalloenzymes: Design and Evolution. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/6c0848pm

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Washington

14. Ueda, George Thomas. Computational Design of Symmetric Protein Complexes with Implications for Vaccine and Biotherapeutic Development.

Degree: PhD, 2019, University of Washington

 Using a newly developed computational docking and scoring method combined with Rosetta two-sided interface design, we demonstrated accurate design of self-assembling oligomeric proteins that exhibit… (more)

Subjects/Keywords: Biotherapeutic; Computational; Design; Engineering; Protein; Vaccine; Biochemistry; Bioengineering; Computational chemistry; Biological chemistry

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APA (6th Edition):

Ueda, G. T. (2019). Computational Design of Symmetric Protein Complexes with Implications for Vaccine and Biotherapeutic Development. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43303

Chicago Manual of Style (16th Edition):

Ueda, George Thomas. “Computational Design of Symmetric Protein Complexes with Implications for Vaccine and Biotherapeutic Development.” 2019. Doctoral Dissertation, University of Washington. Accessed July 10, 2020. http://hdl.handle.net/1773/43303.

MLA Handbook (7th Edition):

Ueda, George Thomas. “Computational Design of Symmetric Protein Complexes with Implications for Vaccine and Biotherapeutic Development.” 2019. Web. 10 Jul 2020.

Vancouver:

Ueda GT. Computational Design of Symmetric Protein Complexes with Implications for Vaccine and Biotherapeutic Development. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1773/43303.

Council of Science Editors:

Ueda GT. Computational Design of Symmetric Protein Complexes with Implications for Vaccine and Biotherapeutic Development. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/43303


Vanderbilt University

15. Allison, Brittany Ann. Computational Design of Protein-Ligand Interfaces Using RosettaLigand.

Degree: PhD, Chemistry, 2016, Vanderbilt University

Computational design of protein-ligand interfaces expands understanding of the basic forces involved in molecular recognition, and also contributes to the development of protein therapeutics. My… (more)

Subjects/Keywords: protein engineering; protein ligand binding; RosettaLigand; Rosetta; protein small molecule interactions; interface design; computational design; ligand macromolecule recognition; NMR; binding affinity

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APA (6th Edition):

Allison, B. A. (2016). Computational Design of Protein-Ligand Interfaces Using RosettaLigand. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03282016-022145/ ;

Chicago Manual of Style (16th Edition):

Allison, Brittany Ann. “Computational Design of Protein-Ligand Interfaces Using RosettaLigand.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed July 10, 2020. http://etd.library.vanderbilt.edu/available/etd-03282016-022145/ ;.

MLA Handbook (7th Edition):

Allison, Brittany Ann. “Computational Design of Protein-Ligand Interfaces Using RosettaLigand.” 2016. Web. 10 Jul 2020.

Vancouver:

Allison BA. Computational Design of Protein-Ligand Interfaces Using RosettaLigand. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2020 Jul 10]. Available from: http://etd.library.vanderbilt.edu/available/etd-03282016-022145/ ;.

Council of Science Editors:

Allison BA. Computational Design of Protein-Ligand Interfaces Using RosettaLigand. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://etd.library.vanderbilt.edu/available/etd-03282016-022145/ ;


University of Washington

16. Day, Austin L. Computational Design of Small Molecule Binding Proteins.

Degree: PhD, 2015, University of Washington

Protein design is still in its infancy, yet there have been many impressive examples of success in designing proteins to fold into a predictable structure,… (more)

Subjects/Keywords: Computational; Ligand; Methods; Protein Design; Protein Engineering; Small Molecule; Biomedical engineering; Biochemistry; bioengineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Day, A. L. (2015). Computational Design of Small Molecule Binding Proteins. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/33592

Chicago Manual of Style (16th Edition):

Day, Austin L. “Computational Design of Small Molecule Binding Proteins.” 2015. Doctoral Dissertation, University of Washington. Accessed July 10, 2020. http://hdl.handle.net/1773/33592.

MLA Handbook (7th Edition):

Day, Austin L. “Computational Design of Small Molecule Binding Proteins.” 2015. Web. 10 Jul 2020.

Vancouver:

Day AL. Computational Design of Small Molecule Binding Proteins. [Internet] [Doctoral dissertation]. University of Washington; 2015. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1773/33592.

Council of Science Editors:

Day AL. Computational Design of Small Molecule Binding Proteins. [Doctoral Dissertation]. University of Washington; 2015. Available from: http://hdl.handle.net/1773/33592


University of Washington

17. Haydon, Ian. De novo protein fusions as platforms for enzyme design.

Degree: 2019, University of Washington

 Control over enzymatic catalysis is a central goal of biotechnology. Recent advances in computational protein design are beginning to allow for the de novo creation… (more)

Subjects/Keywords: computational biology; enzymes; protein design; protein engineering; Biochemistry; Bioengineering; Biophysics; Biological chemistry

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Haydon, I. (2019). De novo protein fusions as platforms for enzyme design. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/43305

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Haydon, Ian. “De novo protein fusions as platforms for enzyme design.” 2019. Thesis, University of Washington. Accessed July 10, 2020. http://hdl.handle.net/1773/43305.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Haydon, Ian. “De novo protein fusions as platforms for enzyme design.” 2019. Web. 10 Jul 2020.

Vancouver:

Haydon I. De novo protein fusions as platforms for enzyme design. [Internet] [Thesis]. University of Washington; 2019. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1773/43305.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Haydon I. De novo protein fusions as platforms for enzyme design. [Thesis]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/43305

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Pennsylvania

18. Eibling, Matthew. Experimental Studies Of Functionally Diverse And Controllable Computationally Designed Protein Systems.

Degree: 2017, University of Pennsylvania

Protein structure dictates function. While natural proteins exhibit great versatility, the intricacies of controlled structure, assembly, and recognition are subtle and challenging to engineer. Computational(more)

Subjects/Keywords: Computational Design; Electron Transfer; Nanoparticle; Peptide; Protein; Spacing; Biochemistry; Chemistry

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Eibling, M. (2017). Experimental Studies Of Functionally Diverse And Controllable Computationally Designed Protein Systems. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2820

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Eibling, Matthew. “Experimental Studies Of Functionally Diverse And Controllable Computationally Designed Protein Systems.” 2017. Thesis, University of Pennsylvania. Accessed July 10, 2020. https://repository.upenn.edu/edissertations/2820.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Eibling, Matthew. “Experimental Studies Of Functionally Diverse And Controllable Computationally Designed Protein Systems.” 2017. Web. 10 Jul 2020.

Vancouver:

Eibling M. Experimental Studies Of Functionally Diverse And Controllable Computationally Designed Protein Systems. [Internet] [Thesis]. University of Pennsylvania; 2017. [cited 2020 Jul 10]. Available from: https://repository.upenn.edu/edissertations/2820.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Eibling M. Experimental Studies Of Functionally Diverse And Controllable Computationally Designed Protein Systems. [Thesis]. University of Pennsylvania; 2017. Available from: https://repository.upenn.edu/edissertations/2820

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Vanderbilt University

19. Willis, Jordan R. Rational Design of Antibodies: From Mechanisms of Specificity to Novel Vaccine Strategies.

Degree: PhD, Chemical and Physical Biology, 2014, Vanderbilt University

 Human antibodies are critical for eradication of viral and bacterial infections, while providing the basis for immunological memory. Antibody design using the molecular modeling suite… (more)

Subjects/Keywords: HIV; Influenza; Computational Biology; Protein Design; Antibodies; Vaccines

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Willis, J. R. (2014). Rational Design of Antibodies: From Mechanisms of Specificity to Novel Vaccine Strategies. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-06052014-161952/ ;

Chicago Manual of Style (16th Edition):

Willis, Jordan R. “Rational Design of Antibodies: From Mechanisms of Specificity to Novel Vaccine Strategies.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed July 10, 2020. http://etd.library.vanderbilt.edu/available/etd-06052014-161952/ ;.

MLA Handbook (7th Edition):

Willis, Jordan R. “Rational Design of Antibodies: From Mechanisms of Specificity to Novel Vaccine Strategies.” 2014. Web. 10 Jul 2020.

Vancouver:

Willis JR. Rational Design of Antibodies: From Mechanisms of Specificity to Novel Vaccine Strategies. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2020 Jul 10]. Available from: http://etd.library.vanderbilt.edu/available/etd-06052014-161952/ ;.

Council of Science Editors:

Willis JR. Rational Design of Antibodies: From Mechanisms of Specificity to Novel Vaccine Strategies. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://etd.library.vanderbilt.edu/available/etd-06052014-161952/ ;


University of Washington

20. Moody, James. Computational design of protein-protein interactions to engineer novel inhibitors of the p53 pathway and the polycomb repressive complex.

Degree: PhD, 2014, University of Washington

 Here I present 2 examples of the application of the Rosetta macromolecular modeling software suite to the successful development of novel protein-based inhibitors with the… (more)

Subjects/Keywords: Biotechnology; Computational; Design; Mdmx; PRC2; Protein; Biochemistry; molecular and cellular biology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Moody, J. (2014). Computational design of protein-protein interactions to engineer novel inhibitors of the p53 pathway and the polycomb repressive complex. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/26172

Chicago Manual of Style (16th Edition):

Moody, James. “Computational design of protein-protein interactions to engineer novel inhibitors of the p53 pathway and the polycomb repressive complex.” 2014. Doctoral Dissertation, University of Washington. Accessed July 10, 2020. http://hdl.handle.net/1773/26172.

MLA Handbook (7th Edition):

Moody, James. “Computational design of protein-protein interactions to engineer novel inhibitors of the p53 pathway and the polycomb repressive complex.” 2014. Web. 10 Jul 2020.

Vancouver:

Moody J. Computational design of protein-protein interactions to engineer novel inhibitors of the p53 pathway and the polycomb repressive complex. [Internet] [Doctoral dissertation]. University of Washington; 2014. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1773/26172.

Council of Science Editors:

Moody J. Computational design of protein-protein interactions to engineer novel inhibitors of the p53 pathway and the polycomb repressive complex. [Doctoral Dissertation]. University of Washington; 2014. Available from: http://hdl.handle.net/1773/26172


UCLA

21. Hinkle, Trent. Designing Protein Energy Landscapes With Coarse-Grained Sequence-Energy Mappings.

Degree: Chemical Engineering, 2017, UCLA

 We develop and implement a brand new method for protein design. Our design method utilizes advances in protein energy scoring, Markov state modeling, machine learning,… (more)

Subjects/Keywords: Biochemistry; Applied mathematics; Chemical engineering; Computational Biology; Computational Protein Design; Machine Learning; Markov State Model; Mean Field Energy Model; Protein Engineering

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APA (6th Edition):

Hinkle, T. (2017). Designing Protein Energy Landscapes With Coarse-Grained Sequence-Energy Mappings. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/7tm0g6xf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hinkle, Trent. “Designing Protein Energy Landscapes With Coarse-Grained Sequence-Energy Mappings.” 2017. Thesis, UCLA. Accessed July 10, 2020. http://www.escholarship.org/uc/item/7tm0g6xf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hinkle, Trent. “Designing Protein Energy Landscapes With Coarse-Grained Sequence-Energy Mappings.” 2017. Web. 10 Jul 2020.

Vancouver:

Hinkle T. Designing Protein Energy Landscapes With Coarse-Grained Sequence-Energy Mappings. [Internet] [Thesis]. UCLA; 2017. [cited 2020 Jul 10]. Available from: http://www.escholarship.org/uc/item/7tm0g6xf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hinkle T. Designing Protein Energy Landscapes With Coarse-Grained Sequence-Energy Mappings. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/7tm0g6xf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Washington

22. Basanta, Benjamin. Beyond single-protein de novo design: A generative algorithm for the NTF2-like superfamily.

Degree: PhD, 2019, University of Washington

 Natural proteins evolved over billions of years to regulate cellular growth, ward off infection and capture and store solar energy. Proteins thus serve as the… (more)

Subjects/Keywords: Computational Biology; generative algorithm; generative design; High-throughput screening; Protein design; Biochemistry; Biological chemistry

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APA (6th Edition):

Basanta, B. (2019). Beyond single-protein de novo design: A generative algorithm for the NTF2-like superfamily. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43640

Chicago Manual of Style (16th Edition):

Basanta, Benjamin. “Beyond single-protein de novo design: A generative algorithm for the NTF2-like superfamily.” 2019. Doctoral Dissertation, University of Washington. Accessed July 10, 2020. http://hdl.handle.net/1773/43640.

MLA Handbook (7th Edition):

Basanta, Benjamin. “Beyond single-protein de novo design: A generative algorithm for the NTF2-like superfamily.” 2019. Web. 10 Jul 2020.

Vancouver:

Basanta B. Beyond single-protein de novo design: A generative algorithm for the NTF2-like superfamily. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1773/43640.

Council of Science Editors:

Basanta B. Beyond single-protein de novo design: A generative algorithm for the NTF2-like superfamily. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/43640


University of Washington

23. Richter, Florian. Computational de-novo design of ester hydrolases.

Degree: PhD, 2013, University of Washington

Computational protein design is a relatively new technique used to devise amino acid sequences to fold into proteins having novel structures or functions. Here, we… (more)

Subjects/Keywords: catalysis; computational protein design; enzyme design; hydrolysis; synthetic biology; Biochemistry; Chemistry; Biological chemistry

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APA (6th Edition):

Richter, F. (2013). Computational de-novo design of ester hydrolases. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/21829

Chicago Manual of Style (16th Edition):

Richter, Florian. “Computational de-novo design of ester hydrolases.” 2013. Doctoral Dissertation, University of Washington. Accessed July 10, 2020. http://hdl.handle.net/1773/21829.

MLA Handbook (7th Edition):

Richter, Florian. “Computational de-novo design of ester hydrolases.” 2013. Web. 10 Jul 2020.

Vancouver:

Richter F. Computational de-novo design of ester hydrolases. [Internet] [Doctoral dissertation]. University of Washington; 2013. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1773/21829.

Council of Science Editors:

Richter F. Computational de-novo design of ester hydrolases. [Doctoral Dissertation]. University of Washington; 2013. Available from: http://hdl.handle.net/1773/21829

24. Hallen, Mark Andrew. Protein and Drug Design Algorithms Using Improved Biophysical Modeling .

Degree: 2016, Duke University

  This thesis focuses on the development of algorithms that will allow protein design calculations to incorporate more realistic modeling assumptions. Protein design algorithms search… (more)

Subjects/Keywords: Computer science; Biochemistry; Algorithms; Bioinformatics; Combinatorial optimization; Computational biology; Drug design; Protein design

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APA (6th Edition):

Hallen, M. A. (2016). Protein and Drug Design Algorithms Using Improved Biophysical Modeling . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/12120

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hallen, Mark Andrew. “Protein and Drug Design Algorithms Using Improved Biophysical Modeling .” 2016. Thesis, Duke University. Accessed July 10, 2020. http://hdl.handle.net/10161/12120.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hallen, Mark Andrew. “Protein and Drug Design Algorithms Using Improved Biophysical Modeling .” 2016. Web. 10 Jul 2020.

Vancouver:

Hallen MA. Protein and Drug Design Algorithms Using Improved Biophysical Modeling . [Internet] [Thesis]. Duke University; 2016. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10161/12120.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hallen MA. Protein and Drug Design Algorithms Using Improved Biophysical Modeling . [Thesis]. Duke University; 2016. Available from: http://hdl.handle.net/10161/12120

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Duke University

25. Frenkel, Marcel. Combined Computational, Experimental, and Assay-Development Studies of Protein:Protein and Protein:Small Molecule Complexes, with Applications to the Inhibition of Enzymes and Protein:Protein Interactions .

Degree: 2019, Duke University

  Despite the best efforts of both academia and the pharma industry, most non-resectable cancers remain uncurable and lethal. The world health organization (WHO) believes… (more)

Subjects/Keywords: Biochemistry; Biophysics; Computational chemistry; CPDD; DHFR; Drug Design; KRas; PPI; Protein Design

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APA (6th Edition):

Frenkel, M. (2019). Combined Computational, Experimental, and Assay-Development Studies of Protein:Protein and Protein:Small Molecule Complexes, with Applications to the Inhibition of Enzymes and Protein:Protein Interactions . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/20091

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Frenkel, Marcel. “Combined Computational, Experimental, and Assay-Development Studies of Protein:Protein and Protein:Small Molecule Complexes, with Applications to the Inhibition of Enzymes and Protein:Protein Interactions .” 2019. Thesis, Duke University. Accessed July 10, 2020. http://hdl.handle.net/10161/20091.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Frenkel, Marcel. “Combined Computational, Experimental, and Assay-Development Studies of Protein:Protein and Protein:Small Molecule Complexes, with Applications to the Inhibition of Enzymes and Protein:Protein Interactions .” 2019. Web. 10 Jul 2020.

Vancouver:

Frenkel M. Combined Computational, Experimental, and Assay-Development Studies of Protein:Protein and Protein:Small Molecule Complexes, with Applications to the Inhibition of Enzymes and Protein:Protein Interactions . [Internet] [Thesis]. Duke University; 2019. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10161/20091.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Frenkel M. Combined Computational, Experimental, and Assay-Development Studies of Protein:Protein and Protein:Small Molecule Complexes, with Applications to the Inhibition of Enzymes and Protein:Protein Interactions . [Thesis]. Duke University; 2019. Available from: http://hdl.handle.net/10161/20091

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Washington

26. Dang, Luke Thomas. Computational Design and Optimization of Novel Subtype Specific Frizzled Binding Proteins for Modulation of Wnt Signaling.

Degree: PhD, 2017, University of Washington

 Wnt signaling is essential to a range of critical biologic processes including embryonic development, mature tissue maintenance, and cell proliferation. Dysregulation of the Wnt signaling… (more)

Subjects/Keywords: Ankyrin Repeat Protein; Computational Protein Design; Frizzled; Protein Engineering; Rosetta; Wnt Signaling; Molecular biology; Biochemistry; Biomedical engineering; Molecular and cellular biology

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APA (6th Edition):

Dang, L. T. (2017). Computational Design and Optimization of Novel Subtype Specific Frizzled Binding Proteins for Modulation of Wnt Signaling. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/40260

Chicago Manual of Style (16th Edition):

Dang, Luke Thomas. “Computational Design and Optimization of Novel Subtype Specific Frizzled Binding Proteins for Modulation of Wnt Signaling.” 2017. Doctoral Dissertation, University of Washington. Accessed July 10, 2020. http://hdl.handle.net/1773/40260.

MLA Handbook (7th Edition):

Dang, Luke Thomas. “Computational Design and Optimization of Novel Subtype Specific Frizzled Binding Proteins for Modulation of Wnt Signaling.” 2017. Web. 10 Jul 2020.

Vancouver:

Dang LT. Computational Design and Optimization of Novel Subtype Specific Frizzled Binding Proteins for Modulation of Wnt Signaling. [Internet] [Doctoral dissertation]. University of Washington; 2017. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1773/40260.

Council of Science Editors:

Dang LT. Computational Design and Optimization of Novel Subtype Specific Frizzled Binding Proteins for Modulation of Wnt Signaling. [Doctoral Dissertation]. University of Washington; 2017. Available from: http://hdl.handle.net/1773/40260

27. Radoux, Christopher John. The automatic detection of small molecule binding hotspots on proteins : applying hotspots to structure-based drug design.

Degree: PhD, 2017, University of Cambridge

 Locating a ligand-binding site is an important first step in structure-guided drug discovery, but current methods typically assess the pocket as a whole, doing little… (more)

Subjects/Keywords: FBDD; SBDD; Fragment-Based Drug Design; Structure-Based Drug Design; Protein; Hotspots; Computational Chemistry; Virtual Screening; Protein Crystallography

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APA (6th Edition):

Radoux, C. J. (2017). The automatic detection of small molecule binding hotspots on proteins : applying hotspots to structure-based drug design. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/275133 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.745043

Chicago Manual of Style (16th Edition):

Radoux, Christopher John. “The automatic detection of small molecule binding hotspots on proteins : applying hotspots to structure-based drug design.” 2017. Doctoral Dissertation, University of Cambridge. Accessed July 10, 2020. https://www.repository.cam.ac.uk/handle/1810/275133 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.745043.

MLA Handbook (7th Edition):

Radoux, Christopher John. “The automatic detection of small molecule binding hotspots on proteins : applying hotspots to structure-based drug design.” 2017. Web. 10 Jul 2020.

Vancouver:

Radoux CJ. The automatic detection of small molecule binding hotspots on proteins : applying hotspots to structure-based drug design. [Internet] [Doctoral dissertation]. University of Cambridge; 2017. [cited 2020 Jul 10]. Available from: https://www.repository.cam.ac.uk/handle/1810/275133 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.745043.

Council of Science Editors:

Radoux CJ. The automatic detection of small molecule binding hotspots on proteins : applying hotspots to structure-based drug design. [Doctoral Dissertation]. University of Cambridge; 2017. Available from: https://www.repository.cam.ac.uk/handle/1810/275133 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.745043


IUPUI

28. Li, Zhixiu. Computational protein design: assessment and applications.

Degree: 2015, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Computational protein design aims at designing amino acid sequences that can fold into a target structure and perform a desired… (more)

Subjects/Keywords: Computational protein design; Energy function; Machine learning; Self-inhibitory peptide; Sequence profile; Inhibitor; Protein engineering; Protein engineering  – Methods; Proteins  – Conformation; Protein folding; Computational biology; Computational biology; Computational biology  – Methods; Machine learning  – Technique

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APA (6th Edition):

Li, Z. (2015). Computational protein design: assessment and applications. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/7949

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Zhixiu. “Computational protein design: assessment and applications.” 2015. Thesis, IUPUI. Accessed July 10, 2020. http://hdl.handle.net/1805/7949.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Zhixiu. “Computational protein design: assessment and applications.” 2015. Web. 10 Jul 2020.

Vancouver:

Li Z. Computational protein design: assessment and applications. [Internet] [Thesis]. IUPUI; 2015. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1805/7949.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li Z. Computational protein design: assessment and applications. [Thesis]. IUPUI; 2015. Available from: http://hdl.handle.net/1805/7949

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Pennsylvania

29. Petty II, Thomas John. Probabilistic Protein Design, Comparative Modeling, and the Structure of a Multidomain P53 Oligomer Bound to DNA.

Degree: 2010, University of Pennsylvania

 Proteins are the main functional components of all cellular processes, and most of them fold into unique three-dimensional shapes guided by their amino-acid sequence. Discovering… (more)

Subjects/Keywords: Comparative Modeling; Protein Design; p53; DNA binding; Multi-domain; Microfluidics; Biochemistry; Computational Biology; Structural Biology

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APA (6th Edition):

Petty II, T. J. (2010). Probabilistic Protein Design, Comparative Modeling, and the Structure of a Multidomain P53 Oligomer Bound to DNA. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/412

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Petty II, Thomas John. “Probabilistic Protein Design, Comparative Modeling, and the Structure of a Multidomain P53 Oligomer Bound to DNA.” 2010. Thesis, University of Pennsylvania. Accessed July 10, 2020. https://repository.upenn.edu/edissertations/412.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Petty II, Thomas John. “Probabilistic Protein Design, Comparative Modeling, and the Structure of a Multidomain P53 Oligomer Bound to DNA.” 2010. Web. 10 Jul 2020.

Vancouver:

Petty II TJ. Probabilistic Protein Design, Comparative Modeling, and the Structure of a Multidomain P53 Oligomer Bound to DNA. [Internet] [Thesis]. University of Pennsylvania; 2010. [cited 2020 Jul 10]. Available from: https://repository.upenn.edu/edissertations/412.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Petty II TJ. Probabilistic Protein Design, Comparative Modeling, and the Structure of a Multidomain P53 Oligomer Bound to DNA. [Thesis]. University of Pennsylvania; 2010. Available from: https://repository.upenn.edu/edissertations/412

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Pennsylvania

30. Perez Aguilar, Jose Manuel. Computational Protein Design and Molecular Dynamics Simulations: A Study of Membrane Proteins, Small Peptides and Molecular Systems.

Degree: 2012, University of Pennsylvania

 Molecular design and modeling can provide stringent assessment of our understanding of the structure and function of proteins. Due to the subtleness of the interactions… (more)

Subjects/Keywords: Computational Protein Design; Entropy-Based Formalism; Molecular Dynamics Simulation; Statistical Mechanics; Biophysics; Chemistry

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APA (6th Edition):

Perez Aguilar, J. M. (2012). Computational Protein Design and Molecular Dynamics Simulations: A Study of Membrane Proteins, Small Peptides and Molecular Systems. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/480

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Perez Aguilar, Jose Manuel. “Computational Protein Design and Molecular Dynamics Simulations: A Study of Membrane Proteins, Small Peptides and Molecular Systems.” 2012. Thesis, University of Pennsylvania. Accessed July 10, 2020. https://repository.upenn.edu/edissertations/480.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Perez Aguilar, Jose Manuel. “Computational Protein Design and Molecular Dynamics Simulations: A Study of Membrane Proteins, Small Peptides and Molecular Systems.” 2012. Web. 10 Jul 2020.

Vancouver:

Perez Aguilar JM. Computational Protein Design and Molecular Dynamics Simulations: A Study of Membrane Proteins, Small Peptides and Molecular Systems. [Internet] [Thesis]. University of Pennsylvania; 2012. [cited 2020 Jul 10]. Available from: https://repository.upenn.edu/edissertations/480.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Perez Aguilar JM. Computational Protein Design and Molecular Dynamics Simulations: A Study of Membrane Proteins, Small Peptides and Molecular Systems. [Thesis]. University of Pennsylvania; 2012. Available from: https://repository.upenn.edu/edissertations/480

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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