Literature DB >> 22425325

Experimentally assessing molecular dynamics sampling of the protein native state conformational distribution.

Griselda Hernández1, Janet S Anderson, David M LeMaster.   

Abstract

The acute sensitivity to conformation exhibited by amide hydrogen exchange reactivity provides a valuable test for the physical accuracy of model ensembles developed to represent the Boltzmann distribution of the protein native state. A number of molecular dynamics studies of ubiquitin have predicted a well-populated transition in the tight turn immediately preceding the primary site of proteasome-directed polyubiquitylation Lys 48. Amide exchange reactivity analysis demonstrates that this transition is 10(3)-fold rarer than these predictions. More strikingly, for the most populated novel conformational basin predicted from a recent 1 ms MD simulation of bovine pancreatic trypsin inhibitor (at 13% of total), experimental hydrogen exchange data indicates a population below 10(-6). The most sophisticated efforts to directly incorporate experimental constraints into the derivation of model protein ensembles have been applied to ubiquitin, as illustrated by three recently deposited studies (PDB codes 2NR2, 2K39 and 2KOX2K392KOX). Utilizing the extensive set of experimental NOE constraints, each of these three ensembles yields a modestly more accurate prediction of the exchange rates for the highly exposed amides than does a standard unconstrained molecular simulation. However, for the less frequently exposed amide hydrogens, the 2NR2 ensemble offers no improvement in rate predictions as compared to the unconstrained MD ensemble. The other two NMR-constrained ensembles performed markedly worse, either underestimating (2KOX) or overestimating (2K39) the extent of conformational diversity.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22425325      PMCID: PMC3400181          DOI: 10.1016/j.bpc.2012.02.002

Source DB:  PubMed          Journal:  Biophys Chem        ISSN: 0301-4622            Impact factor:   2.352


  59 in total

1.  The Protein Data Bank.

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Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

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Authors:  J Tsai; R Taylor; C Chothia; M Gerstein
Journal:  J Mol Biol       Date:  1999-07-02       Impact factor: 5.469

3.  Kinetics of unfolding and folding from amide hydrogen exchange in native ubiquitin.

Authors:  T Sivaraman; C B Arrington; A D Robertson
Journal:  Nat Struct Biol       Date:  2001-04

4.  A point-charge force field for molecular mechanics simulations of proteins based on condensed-phase quantum mechanical calculations.

Authors:  Yong Duan; Chun Wu; Shibasish Chowdhury; Mathew C Lee; Guoming Xiong; Wei Zhang; Rong Yang; Piotr Cieplak; Ray Luo; Taisung Lee; James Caldwell; Junmei Wang; Peter Kollman
Journal:  J Comput Chem       Date:  2003-12       Impact factor: 3.376

5.  Comparison of multiple Amber force fields and development of improved protein backbone parameters.

Authors:  Viktor Hornak; Robert Abel; Asim Okur; Bentley Strockbine; Adrian Roitberg; Carlos Simmerling
Journal:  Proteins       Date:  2006-11-15

6.  Assessing the native state conformational distribution of ubiquitin by peptide acidity.

Authors:  Griselda Hernández; Janet S Anderson; David M LeMaster
Journal:  Biophys Chem       Date:  2010-10-15       Impact factor: 2.352

7.  Buried surface area, conformational entropy, and protein stability.

Authors:  A A Rashin
Journal:  Biopolymers       Date:  1984-08       Impact factor: 2.505

8.  A billion-fold range in acidity for the solvent-exposed amides of Pyrococcus furiosus rubredoxin.

Authors:  Janet S Anderson; Griselda Hernández; David M Lemaster
Journal:  Biochemistry       Date:  2008-05-15       Impact factor: 3.162

9.  Electrostatic stabilization and general base catalysis in the active site of the human protein disulfide isomerase a domain monitored by hydrogen exchange.

Authors:  Griselda Hernández; Janet S Anderson; David M LeMaster
Journal:  Chembiochem       Date:  2008-03-25       Impact factor: 3.164

10.  The MUMO (minimal under-restraining minimal over-restraining) method for the determination of native state ensembles of proteins.

Authors:  Barbara Richter; Joerg Gsponer; Péter Várnai; Xavier Salvatella; Michele Vendruscolo
Journal:  J Biomol NMR       Date:  2007-01-16       Impact factor: 2.835

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  6 in total

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Authors:  Arthur G Palmer
Journal:  J Magn Reson       Date:  2014-04       Impact factor: 2.229

2.  How amide hydrogens exchange in native proteins.

Authors:  Filip Persson; Bertil Halle
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-20       Impact factor: 11.205

3.  Insights from molecular dynamics simulations for computational protein design.

Authors:  Matthew Carter Childers; Valerie Daggett
Journal:  Mol Syst Des Eng       Date:  2017-01-09

4.  Assessing the chemical accuracy of protein structures via peptide acidity.

Authors:  Janet S Anderson; Griselda Hernández; David M LeMaster
Journal:  Biophys Chem       Date:  2012-11-02       Impact factor: 2.352

5.  Prediction and Validation of a Protein's Free Energy Surface Using Hydrogen Exchange and (Importantly) Its Denaturant Dependence.

Authors:  Xiangda Peng; Michael Baxa; Nabil Faruk; Joseph R Sachleben; Sebastian Pintscher; Isabelle A Gagnon; Scott Houliston; Cheryl H Arrowsmith; Karl F Freed; Gabriel J Rocklin; Tobin R Sosnick
Journal:  J Chem Theory Comput       Date:  2021-12-22       Impact factor: 6.006

6.  Analysing the visible conformational substates of the FK506-binding protein FKBP12.

Authors:  Sourajit M Mustafi; Hui Chen; Hongmin Li; David M Lemaster; Griselda Hernández
Journal:  Biochem J       Date:  2013-08-01       Impact factor: 3.857

  6 in total

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