Evol and ProDy for bridging protein sequence evolution and structural dynamics

UNLABELLED Correlations between sequence evolution and structural dynamics are of utmost importance in understanding the molecular mechanisms of function and their evolution. We have integrated Evol, a new package for fast and efficient comparative analysis of evolutionary patterns and conformational dynamics, into ProDy, a computational toolbox designed for inferring protein dynamics from experimental and theoretical data. Using information-theoretic approaches, Evol coanalyzes conservation and coevolution profiles extracted from multiple sequence alignments of protein families with their inferred dynamics. AVAILABILITY AND IMPLEMENTATION ProDy and Evol are open-source and freely available under MIT License from http://prody.csb.pitt.edu/.

[1]  Catherine L. Worth,et al.  Structural and functional constraints in the evolution of protein families , 2009, Nature Reviews Molecular Cell Biology.

[2]  Gregory B. Gloor,et al.  Mutual information without the influence of phylogeny or entropy dramatically improves residue contact prediction , 2008, Bioinform..

[3]  T. Hwa,et al.  Identification of direct residue contacts in protein–protein interaction by message passing , 2009, Proceedings of the National Academy of Sciences.

[4]  Ying Liu,et al.  Role of Hsp70 ATPase Domain Intrinsic Dynamics and Sequence Evolution in Enabling its Functional Interactions with NEFs , 2010, PLoS Comput. Biol..

[5]  Nir Ben-Tal,et al.  Protein stability: a single recorded mutation aids in predicting the effects of other mutations in the same amino acid site , 2011, Bioinform..

[6]  Geoffrey J. Barton,et al.  Jalview Version 2—a multiple sequence alignment editor and analysis workbench , 2009, Bioinform..

[7]  Bernard Manderick,et al.  PDB file parser and structure class implemented in Python , 2003, Bioinform..

[8]  Bartek Wilczynski,et al.  Biopython: freely available Python tools for computational molecular biology and bioinformatics , 2009, Bioinform..

[9]  S. Teichmann,et al.  Probing the diverse landscape of protein flexibility and binding. , 2012, Current opinion in structural biology.

[10]  Dan S. Tawfik,et al.  Protein Dynamism and Evolvability , 2009, Science.

[11]  I. Bahar,et al.  Sequence Evolution Correlates with Structural Dynamics , 2012, Molecular biology and evolution.

[12]  Ivet Bahar,et al.  ProDy: Protein Dynamics Inferred from Theory and Experiments , 2011, Bioinform..

[13]  I. Bahar,et al.  Global dynamics of proteins: bridging between structure and function. , 2010, Annual review of biophysics.

[14]  Z. Nevin Gerek,et al.  Collective Dynamics Differentiates Functional Divergence in Protein Evolution , 2012, PLoS Comput. Biol..

[15]  Ying Liu,et al.  ATPase Subdomain IA Is a Mediator of Interdomain Allostery in Hsp70 Molecular Chaperones , 2014, PLoS Comput. Biol..

[16]  K Schulten,et al.  VMD: visual molecular dynamics. , 1996, Journal of molecular graphics.

[17]  Wei Li,et al.  A Dynamic Knockout Reveals That Conformational Fluctuations Influence the Chemical Step of Enzyme Catalysis , 2011, Science.

[18]  Ivet Bahar,et al.  Using Entropy Maximization to Understand the Determinants of Structural Dynamics beyond Native Contact Topology , 2010, PLoS Comput. Biol..

[19]  Y. Sanejouand,et al.  Building‐block approach for determining low‐frequency normal modes of macromolecules , 2000, Proteins.

[20]  Kevin L. Shaw,et al.  Linear extrapolation method of analyzing solvent denaturation curves , 2000, Proteins.

[21]  I. Bahar,et al.  The intrinsic dynamics of enzymes plays a dominant role in determining the structural changes induced upon inhibitor binding , 2009, Proceedings of the National Academy of Sciences.

[22]  A. Horovitz,et al.  Mapping pathways of allosteric communication in GroEL by analysis of correlated mutations , 2002, Proteins.

[23]  K. Acharya,et al.  Influence of naturally-occurring 5′-pyrophosphate-linked substituents on the binding of adenylic inhibitors to ribonuclease a: An X-ray crystallographic study , 2009, Biopolymers.

[24]  D. Thirumalai,et al.  Network of dynamically important residues in the open/closed transition in polymerases is strongly conserved. , 2005, Structure.

[25]  C. Micheletti Comparing proteins by their internal dynamics: exploring structure-function relationships beyond static structural alignments. , 2012, Physics of life reviews.

[26]  Thomas A. Hopf,et al.  Protein 3D Structure Computed from Evolutionary Sequence Variation , 2011, PloS one.

[27]  Tal Pupko,et al.  ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids , 2010, Nucleic Acids Res..

[28]  Olivier Lichtarge,et al.  ET viewer: an application for predicting and visualizing functional sites in protein structures , 2006, Bioinform..

[29]  Ivet Bahar,et al.  Constraints imposed by the membrane selectively guide the alternating access dynamics of the glutamate transporter GltPh. , 2012, Biophysical journal.

[30]  Karsten Suhre,et al.  ElNémo: a normal mode web server for protein movement analysis and the generation of templates for molecular replacement , 2004, Nucleic Acids Res..

[31]  H. Berendsen,et al.  Essential dynamics of proteins , 1993, Proteins.

[32]  Jens Meiler,et al.  A Correspondence Between Solution-State Dynamics of an Individual Protein and the Sequence and Conformational Diversity of its Family , 2009, PLoS Comput. Biol..

[33]  Ali Rana Atilgan,et al.  Perturbation-Response Scanning Reveals Ligand Entry-Exit Mechanisms of Ferric Binding Protein , 2009, PLoS Comput. Biol..

[34]  K. Hinsen,et al.  Harmonicity in slow protein dynamics , 2000 .

[35]  Najeeb M. Halabi,et al.  Protein Sectors: Evolutionary Units of Three-Dimensional Structure , 2009, Cell.

[36]  Ivet Bahar,et al.  Anisotropic network model: systematic evaluation and a new web interface , 2006, Bioinform..