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You searched for subject:(Protein coevolution). Showing records 1 – 10 of 10 total matches.

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University of Toronto

1. Clark, Greg W. Covariation Methods in Proteomics.

Degree: PhD, 2014, University of Toronto

 Covariation is a commonly observed process that can occur in biological systems where two characteristics experience change as influenced by their mutual feedback. This phenomenon… (more)

Subjects/Keywords: bioinformatics; coevolution; molecular evolution; protein; 0715

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APA (6th Edition):

Clark, G. W. (2014). Covariation Methods in Proteomics. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/73774

Chicago Manual of Style (16th Edition):

Clark, Greg W. “Covariation Methods in Proteomics.” 2014. Doctoral Dissertation, University of Toronto. Accessed May 20, 2019. http://hdl.handle.net/1807/73774.

MLA Handbook (7th Edition):

Clark, Greg W. “Covariation Methods in Proteomics.” 2014. Web. 20 May 2019.

Vancouver:

Clark GW. Covariation Methods in Proteomics. [Internet] [Doctoral dissertation]. University of Toronto; 2014. [cited 2019 May 20]. Available from: http://hdl.handle.net/1807/73774.

Council of Science Editors:

Clark GW. Covariation Methods in Proteomics. [Doctoral Dissertation]. University of Toronto; 2014. Available from: http://hdl.handle.net/1807/73774


University of California – San Francisco

2. Avila-Herrera, Aram. Statistical evaluation of coevolution methods for predicting inter-protein contacts.

Degree: Biological and Medical Informatics, 2015, University of California – San Francisco

 In this work I rigorously benchmark thirteen methods for detecting residue coevolution between proteins and illustrate their strengths and weaknesses under a variety of practical… (more)

Subjects/Keywords: Bioinformatics; benchmark; coevolution; contact prediction; methods comparison; null distribution; protein interaction

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APA (6th Edition):

Avila-Herrera, A. (2015). Statistical evaluation of coevolution methods for predicting inter-protein contacts. (Thesis). University of California – San Francisco. Retrieved from http://www.escholarship.org/uc/item/0s7405kz

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):

Avila-Herrera, Aram. “Statistical evaluation of coevolution methods for predicting inter-protein contacts.” 2015. Thesis, University of California – San Francisco. Accessed May 20, 2019. http://www.escholarship.org/uc/item/0s7405kz.

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

MLA Handbook (7th Edition):

Avila-Herrera, Aram. “Statistical evaluation of coevolution methods for predicting inter-protein contacts.” 2015. Web. 20 May 2019.

Vancouver:

Avila-Herrera A. Statistical evaluation of coevolution methods for predicting inter-protein contacts. [Internet] [Thesis]. University of California – San Francisco; 2015. [cited 2019 May 20]. Available from: http://www.escholarship.org/uc/item/0s7405kz.

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

Council of Science Editors:

Avila-Herrera A. Statistical evaluation of coevolution methods for predicting inter-protein contacts. [Thesis]. University of California – San Francisco; 2015. Available from: http://www.escholarship.org/uc/item/0s7405kz

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


Boston University

3. Pandya, Chetanya. Sequence- and structure-based approaches to deciphering enzyme evolution in the Haloalkonoate Dehalogenase superfamily.

Degree: PhD, Bioinformatics, 2014, Boston University

 Understanding how changes in functional requirements of the cell select for changes in protein sequence and structure is a fundamental challenge in molecular evolution. This… (more)

Subjects/Keywords: Bioinformatics; Cappredictor; Coevolution of domains; Domain insertions; Protein evolution

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APA (6th Edition):

Pandya, C. (2014). Sequence- and structure-based approaches to deciphering enzyme evolution in the Haloalkonoate Dehalogenase superfamily. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/15107

Chicago Manual of Style (16th Edition):

Pandya, Chetanya. “Sequence- and structure-based approaches to deciphering enzyme evolution in the Haloalkonoate Dehalogenase superfamily.” 2014. Doctoral Dissertation, Boston University. Accessed May 20, 2019. http://hdl.handle.net/2144/15107.

MLA Handbook (7th Edition):

Pandya, Chetanya. “Sequence- and structure-based approaches to deciphering enzyme evolution in the Haloalkonoate Dehalogenase superfamily.” 2014. Web. 20 May 2019.

Vancouver:

Pandya C. Sequence- and structure-based approaches to deciphering enzyme evolution in the Haloalkonoate Dehalogenase superfamily. [Internet] [Doctoral dissertation]. Boston University; 2014. [cited 2019 May 20]. Available from: http://hdl.handle.net/2144/15107.

Council of Science Editors:

Pandya C. Sequence- and structure-based approaches to deciphering enzyme evolution in the Haloalkonoate Dehalogenase superfamily. [Doctoral Dissertation]. Boston University; 2014. Available from: http://hdl.handle.net/2144/15107


University of Western Ontario

4. Dickson, Russell J. Computational Molecular Coevolution.

Degree: 2013, University of Western Ontario

 A major goal in computational biochemistry is to obtain three-dimensional structure information from protein sequence. Coevolution represents a biological mechanism through which structural information can… (more)

Subjects/Keywords: Coevolution; multiple sequence alignment; protein structure prediction; local covariation; protein family curation; Mutual Information; Bioinformatics

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APA (6th Edition):

Dickson, R. J. (2013). Computational Molecular Coevolution. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/1798

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):

Dickson, Russell J. “Computational Molecular Coevolution.” 2013. Thesis, University of Western Ontario. Accessed May 20, 2019. https://ir.lib.uwo.ca/etd/1798.

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

MLA Handbook (7th Edition):

Dickson, Russell J. “Computational Molecular Coevolution.” 2013. Web. 20 May 2019.

Vancouver:

Dickson RJ. Computational Molecular Coevolution. [Internet] [Thesis]. University of Western Ontario; 2013. [cited 2019 May 20]. Available from: https://ir.lib.uwo.ca/etd/1798.

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

Council of Science Editors:

Dickson RJ. Computational Molecular Coevolution. [Thesis]. University of Western Ontario; 2013. Available from: https://ir.lib.uwo.ca/etd/1798

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


Kent State University

5. Hetti Arachchilage, Madara Dilhani. Coevolution of epitopes in HIV-1 pre-integration complex proteins: protein-protein interaction insights.

Degree: PhD, College of Arts and Sciences / Department of Biological Sciences, 2018, Kent State University

 Recognition of viral epitopes by the host immune system plays a pivotal role in controlling viral infection, while at the same time exerting selective pressure… (more)

Subjects/Keywords: Biology; Bioinformatics; HIV; Coevolution; Protein interactions; Epitope; Protein structure; Integrase; Reverse Transcriptase; Vpr

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

APA (6th Edition):

Hetti Arachchilage, M. D. (2018). Coevolution of epitopes in HIV-1 pre-integration complex proteins: protein-protein interaction insights. (Doctoral Dissertation). Kent State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=kent1530646538935895

Chicago Manual of Style (16th Edition):

Hetti Arachchilage, Madara Dilhani. “Coevolution of epitopes in HIV-1 pre-integration complex proteins: protein-protein interaction insights.” 2018. Doctoral Dissertation, Kent State University. Accessed May 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1530646538935895.

MLA Handbook (7th Edition):

Hetti Arachchilage, Madara Dilhani. “Coevolution of epitopes in HIV-1 pre-integration complex proteins: protein-protein interaction insights.” 2018. Web. 20 May 2019.

Vancouver:

Hetti Arachchilage MD. Coevolution of epitopes in HIV-1 pre-integration complex proteins: protein-protein interaction insights. [Internet] [Doctoral dissertation]. Kent State University; 2018. [cited 2019 May 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=kent1530646538935895.

Council of Science Editors:

Hetti Arachchilage MD. Coevolution of epitopes in HIV-1 pre-integration complex proteins: protein-protein interaction insights. [Doctoral Dissertation]. Kent State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=kent1530646538935895


University of Washington

6. Ovchinnikov, Sergey. Protein structure determination using evolutionary information.

Degree: PhD, 2017, University of Washington

 For billions of years, nature has been conducting the greatest experiment of all time. Imagine one day gaining access to the detailed notes from these… (more)

Subjects/Keywords: Coevolution; GREMLIN; Protein; ROSETTA; Structure prediction; Biochemistry; Bioinformatics; Biology; Molecular and cellular biology

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APA (6th Edition):

Ovchinnikov, S. (2017). Protein structure determination using evolutionary information. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/40652

Chicago Manual of Style (16th Edition):

Ovchinnikov, Sergey. “Protein structure determination using evolutionary information.” 2017. Doctoral Dissertation, University of Washington. Accessed May 20, 2019. http://hdl.handle.net/1773/40652.

MLA Handbook (7th Edition):

Ovchinnikov, Sergey. “Protein structure determination using evolutionary information.” 2017. Web. 20 May 2019.

Vancouver:

Ovchinnikov S. Protein structure determination using evolutionary information. [Internet] [Doctoral dissertation]. University of Washington; 2017. [cited 2019 May 20]. Available from: http://hdl.handle.net/1773/40652.

Council of Science Editors:

Ovchinnikov S. Protein structure determination using evolutionary information. [Doctoral Dissertation]. University of Washington; 2017. Available from: http://hdl.handle.net/1773/40652


University of Western Ontario

7. McMurrough, Thomas A. Coevolving Residues and the Expansion of Substrate Permissibility in LAGLIDADG Homing Endonucleases.

Degree: 2017, University of Western Ontario

 Genome-editing (GE) is a form of genetic engineering that permits the deliberate manipulation of genetic material for the study of biological processes, agricultural and industrial… (more)

Subjects/Keywords: LAGLIDADG homing endonuclease; genome editing; coevolution; enzyme catalysis; substrate specificity; protein engineering; biotechnology; Medical Molecular Biology

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APA (6th Edition):

McMurrough, T. A. (2017). Coevolving Residues and the Expansion of Substrate Permissibility in LAGLIDADG Homing Endonucleases. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5119

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):

McMurrough, Thomas A. “Coevolving Residues and the Expansion of Substrate Permissibility in LAGLIDADG Homing Endonucleases.” 2017. Thesis, University of Western Ontario. Accessed May 20, 2019. https://ir.lib.uwo.ca/etd/5119.

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

MLA Handbook (7th Edition):

McMurrough, Thomas A. “Coevolving Residues and the Expansion of Substrate Permissibility in LAGLIDADG Homing Endonucleases.” 2017. Web. 20 May 2019.

Vancouver:

McMurrough TA. Coevolving Residues and the Expansion of Substrate Permissibility in LAGLIDADG Homing Endonucleases. [Internet] [Thesis]. University of Western Ontario; 2017. [cited 2019 May 20]. Available from: https://ir.lib.uwo.ca/etd/5119.

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

Council of Science Editors:

McMurrough TA. Coevolving Residues and the Expansion of Substrate Permissibility in LAGLIDADG Homing Endonucleases. [Thesis]. University of Western Ontario; 2017. Available from: https://ir.lib.uwo.ca/etd/5119

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

8. Zhou, Hua. Study of correlation analysis for protein-protein interactions.

Degree: PhD, 0318, 2014, University of Illinois – Urbana-Champaign

Protein-protein interactions take place when two or more proteins bind together, usually to carry out some biological functions. Many biological processes are formed by interaction… (more)

Subjects/Keywords: correlation analysis; coevolution; mirrortree; protein interaction; pearson's correlation

coevolution of protein pairs and further predict possible interactions. Recent studies using… …et al. (2011) Using coevolution to predict protein-protein interactions. Methods… …question of the following: ‘Given a set of protein sequences, which pairs of proteins are likely… …protein-protein interaction network for a set of proteins; ideally, we would like to extend the… …methods we will explore and use for sequence-based coevolution analysis are variants of the… 

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APA (6th Edition):

Zhou, H. (2014). Study of correlation analysis for protein-protein interactions. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/49533

Chicago Manual of Style (16th Edition):

Zhou, Hua. “Study of correlation analysis for protein-protein interactions.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed May 20, 2019. http://hdl.handle.net/2142/49533.

MLA Handbook (7th Edition):

Zhou, Hua. “Study of correlation analysis for protein-protein interactions.” 2014. Web. 20 May 2019.

Vancouver:

Zhou H. Study of correlation analysis for protein-protein interactions. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 May 20]. Available from: http://hdl.handle.net/2142/49533.

Council of Science Editors:

Zhou H. Study of correlation analysis for protein-protein interactions. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/49533

9. Coucke, Alice. Statistical modeling of protein sequences beyond structural prediction : high dimensional inference with correlated data : Modélisation statistique des séquences de protéines au-delà de la prédiction structurelle : inférence en haute dimension avec des données corrélées.

Degree: Docteur es, Physique statistique, 2016, Paris Sciences et Lettres

Grâce aux progrès des techniques de séquençage, les bases de données génomiques ont connu une croissance exponentielle depuis la fin des années 1990. Un grand… (more)

Subjects/Keywords: Inférence; Apprentissage statistique; Régularisation; Entropie maximale; Ccoévolution des protéines; Modélisation statistique des séquences de protéines; Vraisemblance maximale; Champ moyen; Pseudo vraisemblance; Développement en grappe; Inference; Statistical learning; Regularization; Maximum entropy; Protein coevolution; Statistical modeling of protein sequences; Maximum likelihood; Mean field; Pseudolikelihood; Cluster expansion; 530.13

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APA (6th Edition):

Coucke, A. (2016). Statistical modeling of protein sequences beyond structural prediction : high dimensional inference with correlated data : Modélisation statistique des séquences de protéines au-delà de la prédiction structurelle : inférence en haute dimension avec des données corrélées. (Doctoral Dissertation). Paris Sciences et Lettres. Retrieved from http://www.theses.fr/2016PSLEE034

Chicago Manual of Style (16th Edition):

Coucke, Alice. “Statistical modeling of protein sequences beyond structural prediction : high dimensional inference with correlated data : Modélisation statistique des séquences de protéines au-delà de la prédiction structurelle : inférence en haute dimension avec des données corrélées.” 2016. Doctoral Dissertation, Paris Sciences et Lettres. Accessed May 20, 2019. http://www.theses.fr/2016PSLEE034.

MLA Handbook (7th Edition):

Coucke, Alice. “Statistical modeling of protein sequences beyond structural prediction : high dimensional inference with correlated data : Modélisation statistique des séquences de protéines au-delà de la prédiction structurelle : inférence en haute dimension avec des données corrélées.” 2016. Web. 20 May 2019.

Vancouver:

Coucke A. Statistical modeling of protein sequences beyond structural prediction : high dimensional inference with correlated data : Modélisation statistique des séquences de protéines au-delà de la prédiction structurelle : inférence en haute dimension avec des données corrélées. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres; 2016. [cited 2019 May 20]. Available from: http://www.theses.fr/2016PSLEE034.

Council of Science Editors:

Coucke A. Statistical modeling of protein sequences beyond structural prediction : high dimensional inference with correlated data : Modélisation statistique des séquences de protéines au-delà de la prédiction structurelle : inférence en haute dimension avec des données corrélées. [Doctoral Dissertation]. Paris Sciences et Lettres; 2016. Available from: http://www.theses.fr/2016PSLEE034


Brigham Young University

10. Baer, Kimberly Kay. Protein Coevolution and Coadaptation in the Vertebrate bc1 Complex.

Degree: MS, 2007, Brigham Young University

 The cytochrome bc1 complex of the mitochondrial electron transport chain accomplishes the enzymatic reaction known as the modified Q-cycle. In the Q-cycle the bc1 complex… (more)

Subjects/Keywords: cytochrome bc1 complex; protein coadaptation; protein coevolution; cytochrome b; cytochrome c1; rieske iron sulfur protein; coenzyme q; TreeSAAP; physicochemical amino acid properties; biochemical adaptation; Biology

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APA (6th Edition):

Baer, K. K. (2007). Protein Coevolution and Coadaptation in the Vertebrate bc1 Complex. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1980&context=etd

Chicago Manual of Style (16th Edition):

Baer, Kimberly Kay. “Protein Coevolution and Coadaptation in the Vertebrate bc1 Complex.” 2007. Masters Thesis, Brigham Young University. Accessed May 20, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1980&context=etd.

MLA Handbook (7th Edition):

Baer, Kimberly Kay. “Protein Coevolution and Coadaptation in the Vertebrate bc1 Complex.” 2007. Web. 20 May 2019.

Vancouver:

Baer KK. Protein Coevolution and Coadaptation in the Vertebrate bc1 Complex. [Internet] [Masters thesis]. Brigham Young University; 2007. [cited 2019 May 20]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1980&context=etd.

Council of Science Editors:

Baer KK. Protein Coevolution and Coadaptation in the Vertebrate bc1 Complex. [Masters Thesis]. Brigham Young University; 2007. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1980&context=etd

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