Literature DB >> 22651983

A phylogenetic analysis of normal modes evolution in enzymes and its relationship to enzyme function.

Jason Lai1, Jing Jin, Jan Kubelka, David A Liberles.   

Abstract

Since the dynamic nature of protein structures is essential for enzymatic function, it is expected that functional evolution can be inferred from the changes in protein dynamics. However, dynamics can also diverge neutrally with sequence substitution between enzymes without changes of function. In this study, a phylogenetic approach is implemented to explore the relationship between enzyme dynamics and function through evolutionary history. Protein dynamics are described by normal mode analysis based on a simplified harmonic potential force field applied to the reduced C(α) representation of the protein structure while enzymatic function is described by Enzyme Commission numbers. Similarity of the binding pocket dynamics at each branch of the protein family's phylogeny was analyzed in two ways: (1) explicitly by quantifying the normal mode overlap calculated for the reconstructed ancestral proteins at each end and (2) implicitly using a diffusion model to obtain the reconstructed lineage-specific changes in the normal modes. Both explicit and implicit ancestral reconstruction identified generally faster rates of change in dynamics compared with the expected change from neutral evolution at the branches of potential functional divergences for the α-amylase, D-isomer-specific 2-hydroxyacid dehydrogenase, and copper-containing amine oxidase protein families. Normal mode analysis added additional information over just comparing the RMSD of static structures. However, the branch-specific changes were not statistically significant compared to background function-independent neutral rates of change of dynamic properties and blind application of the analysis would not enable prediction of changes in enzyme specificity.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22651983      PMCID: PMC3423504          DOI: 10.1016/j.jmb.2012.05.028

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  76 in total

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2.  Structure is three to ten times more conserved than sequence--a study of structural response in protein cores.

Authors:  Kristoffer Illergård; David H Ardell; Arne Elofsson
Journal:  Proteins       Date:  2009-11-15

3.  A perturbative view of protein structural variation.

Authors:  Julián Echave; Francisco M Fernández
Journal:  Proteins       Date:  2010-01

Review 4.  Global dynamics of proteins: bridging between structure and function.

Authors:  Ivet Bahar; Timothy R Lezon; Lee-Wei Yang; Eran Eyal
Journal:  Annu Rev Biophys       Date:  2010       Impact factor: 12.981

5.  The Pfam protein families database.

Authors:  Robert D Finn; Jaina Mistry; John Tate; Penny Coggill; Andreas Heger; Joanne E Pollington; O Luke Gavin; Prasad Gunasekaran; Goran Ceric; Kristoffer Forslund; Liisa Holm; Erik L L Sonnhammer; Sean R Eddy; Alex Bateman
Journal:  Nucleic Acids Res       Date:  2009-11-17       Impact factor: 16.971

6.  On the conservation of the slow conformational dynamics within the amino acid kinase family: NAGK the paradigm.

Authors:  Enrique Marcos; Ramon Crehuet; Ivet Bahar
Journal:  PLoS Comput Biol       Date:  2010-04-08       Impact factor: 4.475

7.  Phylogenetic assessment of alignments reveals neglected tree signal in gaps.

Authors:  Christophe Dessimoz; Manuel Gil
Journal:  Genome Biol       Date:  2010-04-06       Impact factor: 13.583

8.  Bayesian phylogeography finds its roots.

Authors:  Philippe Lemey; Andrew Rambaut; Alexei J Drummond; Marc A Suchard
Journal:  PLoS Comput Biol       Date:  2009-09-25       Impact factor: 4.475

9.  QMEANclust: estimation of protein model quality by combining a composite scoring function with structural density information.

Authors:  Pascal Benkert; Torsten Schwede; Silvio Ce Tosatto
Journal:  BMC Struct Biol       Date:  2009-05-20

10.  An epistatic ratchet constrains the direction of glucocorticoid receptor evolution.

Authors:  Jamie T Bridgham; Eric A Ortlund; Joseph W Thornton
Journal:  Nature       Date:  2009-09-24       Impact factor: 49.962

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  6 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.  Patterns of coevolving amino acids unveil structural and dynamical domains.

Authors:  Daniele Granata; Luca Ponzoni; Cristian Micheletti; Vincenzo Carnevale
Journal:  Proc Natl Acad Sci U S A       Date:  2017-11-28       Impact factor: 11.205

Review 3.  Emerging Concepts of Data Integration in Pathogen Phylodynamics.

Authors:  Guy Baele; Marc A Suchard; Andrew Rambaut; Philippe Lemey
Journal:  Syst Biol       Date:  2017-01-01       Impact factor: 15.683

4.  Conservation of Dynamics Associated with Biological Function in an Enzyme Superfamily.

Authors:  Chitra Narayanan; David N Bernard; Khushboo Bafna; Donald Gagné; Chakra S Chennubhotla; Nicolas Doucet; Pratul K Agarwal
Journal:  Structure       Date:  2018-02-22       Impact factor: 5.006

5.  Comparison of the Internal Dynamics of Metalloproteases Provides New Insights on Their Function and Evolution.

Authors:  Henrique F Carvalho; Ana C A Roque; Olga Iranzo; Ricardo J F Branco
Journal:  PLoS One       Date:  2015-09-23       Impact factor: 3.240

6.  Plant catalase in silico characterization and phylogenetic analysis with structural modeling.

Authors:  Takio Nene; Meera Yadav; Hardeo Singh Yadav
Journal:  J Genet Eng Biotechnol       Date:  2022-08-19
  6 in total

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