Literature DB >> 22396525

Protein conformational diversity modulates sequence divergence.

Ezequiel Juritz1, Nicolas Palopoli, Maria Silvina Fornasari, Sebastian Fernandez-Alberti, Gustavo Parisi.   

Abstract

It is well established that the conservation of protein structure during evolution constrains sequence divergence. The conservation of certain physicochemical environments to preserve protein folds and then the biological function originates a site-specific structurally constrained substitution pattern. However, protein native structure is not unique. It is known that the native state is better described by an ensemble of conformers in a dynamic equilibrium. In this work, we studied the influence of conformational diversity in sequence divergence and protein evolution. For this purpose, we derived a set of 900 proteins with different degrees of conformational diversity from the PCDB database, a conformer database. With the aid of a structurally constrained protein evolutionary model, we explored the influence of the different conformations on sequence divergence. We found that the presence of conformational diversity strongly modulates the substitution pattern. Although the conformers share several of the structurally constrained sites, 30% of them are conformer specific. Also, we found that in 76% of the proteins studied, a single conformer outperforms the others in the prediction of sequence divergence. It is interesting to note that this conformer is usually the one that binds ligands participating in the biological function of the protein. The existence of a conformer-specific site-substitution pattern indicates that conformational diversity could play a central role in modulating protein evolution. Furthermore, our findings suggest that new evolutionary models and bioinformatics tools should be developed taking into account this substitution bias.

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Year:  2012        PMID: 22396525     DOI: 10.1093/molbev/mss080

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  13 in total

Review 1.  Selection on protein structure, interaction, and sequence.

Authors:  Peter B Chi; David A Liberles
Journal:  Protein Sci       Date:  2016-02-11       Impact factor: 6.725

2.  Biophysics of protein evolution and evolutionary protein biophysics.

Authors:  Tobias Sikosek; Hue Sun Chan
Journal:  J R Soc Interface       Date:  2014-11-06       Impact factor: 4.118

3.  Homology modeling in a dynamical world.

Authors:  Alexander Miguel Monzon; Diego Javier Zea; Cristina Marino-Buslje; Gustavo Parisi
Journal:  Protein Sci       Date:  2017-09-28       Impact factor: 6.725

Review 4.  Biophysical Models of Protein Evolution: Understanding the Patterns of Evolutionary Sequence Divergence.

Authors:  Julian Echave; Claus O Wilke
Journal:  Annu Rev Biophys       Date:  2017-03-15       Impact factor: 12.981

5.  Protein evolution along phylogenetic histories under structurally constrained substitution models.

Authors:  Miguel Arenas; Helena G Dos Santos; David Posada; Ugo Bastolla
Journal:  Bioinformatics       Date:  2013-09-12       Impact factor: 6.937

6.  Evolution of oligomeric state through allosteric pathways that mimic ligand binding.

Authors:  Tina Perica; Yasushi Kondo; Sandhya P Tiwari; Stephen H McLaughlin; Katherine R Kemplen; Xiuwei Zhang; Annette Steward; Nathalie Reuter; Jane Clarke; Sarah A Teichmann
Journal:  Science       Date:  2014-12-19       Impact factor: 47.728

7.  Addressing the Role of Conformational Diversity in Protein Structure Prediction.

Authors:  Nicolas Palopoli; Alexander Miguel Monzon; Gustavo Parisi; Maria Silvina Fornasari
Journal:  PLoS One       Date:  2016-05-09       Impact factor: 3.240

8.  BeEP Server: Using evolutionary information for quality assessment of protein structure models.

Authors:  Nicolas Palopoli; Esteban Lanzarotti; Gustavo Parisi
Journal:  Nucleic Acids Res       Date:  2013-05-31       Impact factor: 16.971

9.  CoDNaS 2.0: a comprehensive database of protein conformational diversity in the native state.

Authors:  Alexander Miguel Monzon; Cristian Oscar Rohr; María Silvina Fornasari; Gustavo Parisi
Journal:  Database (Oxford)       Date:  2016-03-28       Impact factor: 3.451

Review 10.  Promiscuity in the Enzymatic Catalysis of Phosphate and Sulfate Transfer.

Authors:  Anna Pabis; Fernanda Duarte; Shina C L Kamerlin
Journal:  Biochemistry       Date:  2016-05-26       Impact factor: 3.162

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