Literature DB >> 11714917

Free energies of protein decoys provide insight into determinants of protein stability.

Y N Vorobjev1, J Hermans.   

Abstract

We have calculated the stability of decoy structures of several proteins (from the CASP3 models and the Park and Levitt decoy set) relative to the native structures. The calculations were performed with the force field-consistent ES/IS method, in which an implicit solvent (IS) model is used to calculate the average solvation free energy for snapshots from explicit simulations (ESs). The conformational free energy is obtained by adding the internal energy of the solute from the ESs and an entropic term estimated from the covariance positional fluctuation matrix. The set of atomic Born radii and the cavity-surface free energy coefficient used in the implicit model has been optimized to be consistent with the all-atom force field used in the ESs (cedar/gromos with simple point charge (SPC) water model). The decoys are found to have a consistently higher free energy than that of the native structure; the gap between the native structure and the best decoy varies between 10 and 15 kcal/mole, on the order of the free energy difference that typically separates the native state of a protein from the unfolded state. The correlation between the free energy and the extent to which the decoy structures differ from the native (as root mean square deviation) is very weak; hence, the free energy is not an accurate measure for ranking the structurally most native-like structures from among a set of models. Analysis of the energy components shows that stability is attained as a result of three major driving forces: (1) minimum size of the protein-water surface interface; (2) minimum total electrostatic energy, which includes solvent polarization; and (3) minimum protein packing energy. The detailed fit required to optimize the last term may underlie difficulties encountered in recovering the native fold from an approximate decoy or model structure.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11714917      PMCID: PMC2374037          DOI: 10.1110/ps.15501

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  23 in total

1.  Ab initio protein structure prediction of CASP III targets using ROSETTA.

Authors:  K T Simons; R Bonneau; I Ruczinski; D Baker
Journal:  Proteins       Date:  1999

2.  Lattice protein folding with two and four-body statistical potentials.

Authors:  H H Gan; A Tropsha; T Schlick
Journal:  Proteins       Date:  2001-05-01

3.  Effective energy function for proteins in solution.

Authors:  T Lazaridis; M Karplus
Journal:  Proteins       Date:  1999-05-01

Review 4.  Understanding protein folding via free-energy surfaces from theory and experiment.

Authors:  A R Dinner; A Sali; L J Smith; C M Dobson; M Karplus
Journal:  Trends Biochem Sci       Date:  2000-07       Impact factor: 13.807

5.  Molecular dynamics in the endgame of protein structure prediction.

Authors:  M R Lee; J Tsai; D Baker; P A Kollman
Journal:  J Mol Biol       Date:  2001-10-19       Impact factor: 5.469

6.  Discrimination of the native from misfolded protein models with an energy function including implicit solvation.

Authors:  T Lazaridis; M Karplus
Journal:  J Mol Biol       Date:  1999-05-07       Impact factor: 5.469

Review 7.  Empirical potentials and functions for protein folding and binding.

Authors:  S Vajda; M Sippl; J Novotny
Journal:  Curr Opin Struct Biol       Date:  1997-04       Impact factor: 6.809

8.  On the multiple-minima problem in the conformational analysis of polypeptides. II. An electrostatically driven Monte Carlo method--tests on poly(L-alanine).

Authors:  D R Ripoll; H A Scheraga
Journal:  Biopolymers       Date:  1988-08       Impact factor: 2.505

9.  An improved pair potential to recognize native protein folds.

Authors:  A Bauer; A Beyer
Journal:  Proteins       Date:  1994-03

10.  Prediction of protein conformation on the basis of a search for compact structures: test on avian pancreatic polypeptide.

Authors:  A Liwo; M R Pincus; R J Wawak; S Rackovsky; H A Scheraga
Journal:  Protein Sci       Date:  1993-10       Impact factor: 6.725

View more
  14 in total

1.  Can correct protein models be identified?

Authors:  Björn Wallner; Arne Elofsson
Journal:  Protein Sci       Date:  2003-05       Impact factor: 6.725

2.  Mimicking the action of folding chaperones in molecular dynamics simulations: Application to the refinement of homology-based protein structures.

Authors:  Hao Fan; Alan E Mark
Journal:  Protein Sci       Date:  2004-03-09       Impact factor: 6.725

3.  Molecular dynamics simulation of amyloid beta dimer formation.

Authors:  B Urbanc; L Cruz; F Ding; D Sammond; S Khare; S V Buldyrev; H E Stanley; N V Dokholyan
Journal:  Biophys J       Date:  2004-10       Impact factor: 4.033

4.  Smoothing protein energy landscapes by integrating folding models with structure prediction.

Authors:  Ari Pritchard-Bell; M Scott Shell
Journal:  Biophys J       Date:  2011-11-01       Impact factor: 4.033

5.  A composite score for predicting errors in protein structure models.

Authors:  David Eramian; Min-yi Shen; Damien Devos; Francisco Melo; Andrej Sali; Marc A Marti-Renom
Journal:  Protein Sci       Date:  2006-06-02       Impact factor: 6.725

6.  Identification of correct regions in protein models using structural, alignment, and consensus information.

Authors:  Björn Wallner; Arne Elofsson
Journal:  Protein Sci       Date:  2006-03-07       Impact factor: 6.725

7.  Partial unfolding and refolding for structure refinement: A unified approach of geometric simulations and molecular dynamics.

Authors:  Avishek Kumar; Paul Campitelli; M F Thorpe; S Banu Ozkan
Journal:  Proteins       Date:  2015-11-17

8.  Identifying native-like protein structures with scoring functions based on all-atom ECEPP force fields, implicit solvent models and structure relaxation.

Authors:  Yelena A Arnautova; Yury N Vorobjev; Jorge A Vila; Harold A Scheraga
Journal:  Proteins       Date:  2009-10

9.  FAMBE-pH: a fast and accurate method to compute the total solvation free energies of proteins.

Authors:  Yury N Vorobjev; Jorge A Vila; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2008-08-07       Impact factor: 2.991

10.  SELECTpro: effective protein model selection using a structure-based energy function resistant to BLUNDERs.

Authors:  Arlo Randall; Pierre Baldi
Journal:  BMC Struct Biol       Date:  2008-12-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.