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You searched for subject:(Protein Structure Refinement). Showing records 1 – 7 of 7 total matches.

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University of Lund

1. Caldararu, Octav. Bridging the gap between computational chemistry and macromolecular crystallography.

Degree: 2019, University of Lund

 Knowledge of the atomic structure of biomolecules, such as proteins, is paramount to understanding their function and interactions in the human body. For example, knowledge… (more)

Subjects/Keywords: Theoretical Chemistry; Protein structure, X-ray crystallography, Neutron crystallography, Quantum mechanics, QM/MM, Quantum refinement, Ensemble refinement, Water structure

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APA (6th Edition):

Caldararu, O. (2019). Bridging the gap between computational chemistry and macromolecular crystallography. (Doctoral Dissertation). University of Lund. Retrieved from https://lup.lub.lu.se/record/dde56e58-5feb-4e34-8bce-843437488651 ; https://portal.research.lu.se/ws/files/71557310/Only_kappa_full_resolution.pdf

Chicago Manual of Style (16th Edition):

Caldararu, Octav. “Bridging the gap between computational chemistry and macromolecular crystallography.” 2019. Doctoral Dissertation, University of Lund. Accessed January 25, 2020. https://lup.lub.lu.se/record/dde56e58-5feb-4e34-8bce-843437488651 ; https://portal.research.lu.se/ws/files/71557310/Only_kappa_full_resolution.pdf.

MLA Handbook (7th Edition):

Caldararu, Octav. “Bridging the gap between computational chemistry and macromolecular crystallography.” 2019. Web. 25 Jan 2020.

Vancouver:

Caldararu O. Bridging the gap between computational chemistry and macromolecular crystallography. [Internet] [Doctoral dissertation]. University of Lund; 2019. [cited 2020 Jan 25]. Available from: https://lup.lub.lu.se/record/dde56e58-5feb-4e34-8bce-843437488651 ; https://portal.research.lu.se/ws/files/71557310/Only_kappa_full_resolution.pdf.

Council of Science Editors:

Caldararu O. Bridging the gap between computational chemistry and macromolecular crystallography. [Doctoral Dissertation]. University of Lund; 2019. Available from: https://lup.lub.lu.se/record/dde56e58-5feb-4e34-8bce-843437488651 ; https://portal.research.lu.se/ws/files/71557310/Only_kappa_full_resolution.pdf

2. Khoury, George A. COMPUTATIONAL METHODS & FORCEFIELDS FOR PROTEIN DESIGN, STRUCTURE PREDICTION, & REFINEMENT WITH NATURAL & MODIFIED AMINO ACIDS .

Degree: PhD, 2015, Princeton University

 Most methods for modeling, simulating, and designing proteins focus on accurately modeling the 20 natural amino acids. Post-translational modi¿cations (PTMs) and non-canonical amino acids (NCAAs)… (more)

Subjects/Keywords: Coopetition; Forcefield; Post-translational modifications; Protein Design; Protein Structure Refinement; Unnatural Amino Acids

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APA (6th Edition):

Khoury, G. A. (2015). COMPUTATIONAL METHODS & FORCEFIELDS FOR PROTEIN DESIGN, STRUCTURE PREDICTION, & REFINEMENT WITH NATURAL & MODIFIED AMINO ACIDS . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01jw827d987

Chicago Manual of Style (16th Edition):

Khoury, George A. “COMPUTATIONAL METHODS & FORCEFIELDS FOR PROTEIN DESIGN, STRUCTURE PREDICTION, & REFINEMENT WITH NATURAL & MODIFIED AMINO ACIDS .” 2015. Doctoral Dissertation, Princeton University. Accessed January 25, 2020. http://arks.princeton.edu/ark:/88435/dsp01jw827d987.

MLA Handbook (7th Edition):

Khoury, George A. “COMPUTATIONAL METHODS & FORCEFIELDS FOR PROTEIN DESIGN, STRUCTURE PREDICTION, & REFINEMENT WITH NATURAL & MODIFIED AMINO ACIDS .” 2015. Web. 25 Jan 2020.

Vancouver:

Khoury GA. COMPUTATIONAL METHODS & FORCEFIELDS FOR PROTEIN DESIGN, STRUCTURE PREDICTION, & REFINEMENT WITH NATURAL & MODIFIED AMINO ACIDS . [Internet] [Doctoral dissertation]. Princeton University; 2015. [cited 2020 Jan 25]. Available from: http://arks.princeton.edu/ark:/88435/dsp01jw827d987.

Council of Science Editors:

Khoury GA. COMPUTATIONAL METHODS & FORCEFIELDS FOR PROTEIN DESIGN, STRUCTURE PREDICTION, & REFINEMENT WITH NATURAL & MODIFIED AMINO ACIDS . [Doctoral Dissertation]. Princeton University; 2015. Available from: http://arks.princeton.edu/ark:/88435/dsp01jw827d987


Northeastern University

3. Roig Solvas, Biel. A constrained optimization approach to fit protein structure to x-ray solution scattering measurements.

Degree: MS, Department of Electrical and Computer Engineering, 2016, Northeastern University

 The study of protein structure is of great interest in fields like biology, pharmacology and medicine due to the great impact that structural configuration has… (more)

Subjects/Keywords: ADMM; inverse problems; optimization; protein; SAXS; structure refinement; Small-angle x-ray scattering; Measurement; X-rays; Scattering; Measurement; Proteins; Structure; Constrained optimization; Mathematical optimization

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APA (6th Edition):

Roig Solvas, B. (2016). A constrained optimization approach to fit protein structure to x-ray solution scattering measurements. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20209264

Chicago Manual of Style (16th Edition):

Roig Solvas, Biel. “A constrained optimization approach to fit protein structure to x-ray solution scattering measurements.” 2016. Masters Thesis, Northeastern University. Accessed January 25, 2020. http://hdl.handle.net/2047/D20209264.

MLA Handbook (7th Edition):

Roig Solvas, Biel. “A constrained optimization approach to fit protein structure to x-ray solution scattering measurements.” 2016. Web. 25 Jan 2020.

Vancouver:

Roig Solvas B. A constrained optimization approach to fit protein structure to x-ray solution scattering measurements. [Internet] [Masters thesis]. Northeastern University; 2016. [cited 2020 Jan 25]. Available from: http://hdl.handle.net/2047/D20209264.

Council of Science Editors:

Roig Solvas B. A constrained optimization approach to fit protein structure to x-ray solution scattering measurements. [Masters Thesis]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20209264

4. Maus, Aaron. Formulation of Hybrid Knowledge-Based/Molecular Mechanics Potentials for Protein Structure Refinement and a Novel Graph Theoretical Protein Structure Comparison and Analysis Technique.

Degree: PhD, Computer Science, 2019, University of New Orleans

  Proteins are the fundamental machinery that enables the functions of life. It is critical to understand them not just for basic biology, but also… (more)

Subjects/Keywords: Bioinformatics; Protein Structure Prediction; Protein Structure Refinement; Statistical Energy Functions; Protein Structure Comparison; Graph Analysis; Bioinformatics

…desired applications such as rational drug design. Protein structure refinement is the process… …dissertation a protein structure refinement technique, that of potential energy minimization using… …Protein Structure Prediction; Protein Structure Refinement; Statistical Energy Functions… …potentials used for protein structure refinement, specifically the knowledge-based portion of these… …Prediction, and to Protein Structure Refinement using Hybrid KB/MM Potentials 2.1 The Structure of… 

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APA (6th Edition):

Maus, A. (2019). Formulation of Hybrid Knowledge-Based/Molecular Mechanics Potentials for Protein Structure Refinement and a Novel Graph Theoretical Protein Structure Comparison and Analysis Technique. (Doctoral Dissertation). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/2673

Chicago Manual of Style (16th Edition):

Maus, Aaron. “Formulation of Hybrid Knowledge-Based/Molecular Mechanics Potentials for Protein Structure Refinement and a Novel Graph Theoretical Protein Structure Comparison and Analysis Technique.” 2019. Doctoral Dissertation, University of New Orleans. Accessed January 25, 2020. https://scholarworks.uno.edu/td/2673.

MLA Handbook (7th Edition):

Maus, Aaron. “Formulation of Hybrid Knowledge-Based/Molecular Mechanics Potentials for Protein Structure Refinement and a Novel Graph Theoretical Protein Structure Comparison and Analysis Technique.” 2019. Web. 25 Jan 2020.

Vancouver:

Maus A. Formulation of Hybrid Knowledge-Based/Molecular Mechanics Potentials for Protein Structure Refinement and a Novel Graph Theoretical Protein Structure Comparison and Analysis Technique. [Internet] [Doctoral dissertation]. University of New Orleans; 2019. [cited 2020 Jan 25]. Available from: https://scholarworks.uno.edu/td/2673.

Council of Science Editors:

Maus A. Formulation of Hybrid Knowledge-Based/Molecular Mechanics Potentials for Protein Structure Refinement and a Novel Graph Theoretical Protein Structure Comparison and Analysis Technique. [Doctoral Dissertation]. University of New Orleans; 2019. Available from: https://scholarworks.uno.edu/td/2673


Georgia Tech

5. Wróblewska, Liliana. Refinement of reduced protein models with all-atom force fields.

Degree: PhD, Biology, 2007, Georgia Tech

 The goal of the following thesis research was to develop a systematic approach for the refinement of low-resolution protein models, as a part of the… (more)

Subjects/Keywords: Force field optimization; Decoy scoring; Protein structure prediction; Protein model refinement; Proteins Analysis; Amino acids Analysis; Computational biology; Proteins Structure

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APA (6th Edition):

Wróblewska, L. (2007). Refinement of reduced protein models with all-atom force fields. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/26606

Chicago Manual of Style (16th Edition):

Wróblewska, Liliana. “Refinement of reduced protein models with all-atom force fields.” 2007. Doctoral Dissertation, Georgia Tech. Accessed January 25, 2020. http://hdl.handle.net/1853/26606.

MLA Handbook (7th Edition):

Wróblewska, Liliana. “Refinement of reduced protein models with all-atom force fields.” 2007. Web. 25 Jan 2020.

Vancouver:

Wróblewska L. Refinement of reduced protein models with all-atom force fields. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2020 Jan 25]. Available from: http://hdl.handle.net/1853/26606.

Council of Science Editors:

Wróblewska L. Refinement of reduced protein models with all-atom force fields. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/26606


NSYSU

6. Huang, Wen-Chen. The 3-D structure and surface properties of human post-translational modifier proteins SUMO-1/2/3.

Degree: Master, Institute of Biomedical Sciences, 2003, NSYSU

 The SUMO protein was named Small Ubiquitin-like MOdifier because its 3-D structure was similar to Ubiquitin. In human, three SUMO proteins were discovered, namely, SUMO-1/2/3.… (more)

Subjects/Keywords: structure determination and refinement; X-ray diffraction technology; crystal structure; human post-translational modifier proteins SUMO-1/2/3; protein modeling

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APA (6th Edition):

Huang, W. (2003). The 3-D structure and surface properties of human post-translational modifier proteins SUMO-1/2/3. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1228103-194225

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):

Huang, Wen-Chen. “The 3-D structure and surface properties of human post-translational modifier proteins SUMO-1/2/3.” 2003. Thesis, NSYSU. Accessed January 25, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1228103-194225.

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

MLA Handbook (7th Edition):

Huang, Wen-Chen. “The 3-D structure and surface properties of human post-translational modifier proteins SUMO-1/2/3.” 2003. Web. 25 Jan 2020.

Vancouver:

Huang W. The 3-D structure and surface properties of human post-translational modifier proteins SUMO-1/2/3. [Internet] [Thesis]. NSYSU; 2003. [cited 2020 Jan 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1228103-194225.

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

Council of Science Editors:

Huang W. The 3-D structure and surface properties of human post-translational modifier proteins SUMO-1/2/3. [Thesis]. NSYSU; 2003. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1228103-194225

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


University of Otago

7. Huschmann, Franziska Ulrike. Investigating resistance in infectious diseases: Functional and structural characterization of the HIV-1 protease and the fungal lanosterol 14α-demethylase(Erg11p) .

Degree: University of Otago

 Infectious diseases are a worldwide health problem. The lack of effective and affordable medications for infections such as AIDS and systemic fungal infections poses a… (more)

Subjects/Keywords: infectious; diseases; resistance; AIDS; HIV; Erg11p; CYP51; cytochrome; P450; CYPs; cloning; expression; purification; crystallization; structure; X-ray; inhibitor; membrane; protein; mycoses; drug; design; azole; target; crystallography; three-dimensional; Candida; albicans; glabrata; Saccharomyces; cerevisiae; binding; assay; protease; HIV-1-PR; refinement; discovery; mutation; membrane-anchored; chromatography

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APA (6th Edition):

Huschmann, F. U. (n.d.). Investigating resistance in infectious diseases: Functional and structural characterization of the HIV-1 protease and the fungal lanosterol 14α-demethylase(Erg11p) . (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/4924

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Huschmann, Franziska Ulrike. “Investigating resistance in infectious diseases: Functional and structural characterization of the HIV-1 protease and the fungal lanosterol 14α-demethylase(Erg11p) .” Doctoral Dissertation, University of Otago. Accessed January 25, 2020. http://hdl.handle.net/10523/4924.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Huschmann, Franziska Ulrike. “Investigating resistance in infectious diseases: Functional and structural characterization of the HIV-1 protease and the fungal lanosterol 14α-demethylase(Erg11p) .” Web. 25 Jan 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Huschmann FU. Investigating resistance in infectious diseases: Functional and structural characterization of the HIV-1 protease and the fungal lanosterol 14α-demethylase(Erg11p) . [Internet] [Doctoral dissertation]. University of Otago; [cited 2020 Jan 25]. Available from: http://hdl.handle.net/10523/4924.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Huschmann FU. Investigating resistance in infectious diseases: Functional and structural characterization of the HIV-1 protease and the fungal lanosterol 14α-demethylase(Erg11p) . [Doctoral Dissertation]. University of Otago; Available from: http://hdl.handle.net/10523/4924

Note: this citation may be lacking information needed for this citation format:
No year of publication.

.