Literature DB >> 9576919

On the thermodynamic hypothesis of protein folding.

S Govindarajan1, R A Goldstein.   

Abstract

The validity of the thermodynamic hypothesis of protein folding was explored by simulating the evolution of protein sequences. Simple models of lattice proteins were allowed to evolve by random point mutations subject to the constraint that they fold into a predetermined native structure with a Monte Carlo folding algorithm. We employed a simple analytical approach to compute the probability of violation of the thermodynamic hypothesis as a function of the size of the protein, the fraction of the total number of possible conformations which are kinetically accessible, and the roughness of the free-energy landscape. It was found that even if the folding is under kinetic control, the sequence will evolve so that the native state is most often the state of minimum free energy.

Mesh:

Year:  1998        PMID: 9576919      PMCID: PMC20414          DOI: 10.1073/pnas.95.10.5545

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  26 in total

Review 1.  Dominant forces in protein folding.

Authors:  K A Dill
Journal:  Biochemistry       Date:  1990-08-07       Impact factor: 3.162

2.  A protein-folding reaction under kinetic control.

Authors:  D Baker; J L Sohl; D A Agard
Journal:  Nature       Date:  1992-03-19       Impact factor: 49.962

3.  Optimal protein-folding codes from spin-glass theory.

Authors:  R A Goldstein; Z A Luthey-Schulten; P G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  1992-06-01       Impact factor: 11.205

4.  A new approach to protein fold recognition.

Authors:  D T Jones; W R Taylor; J M Thornton
Journal:  Nature       Date:  1992-07-02       Impact factor: 49.962

5.  Global suppression of protein folding defects and inclusion body formation.

Authors:  A Mitraki; B Fane; C Haase-Pettingell; J Sturtevant; J King
Journal:  Science       Date:  1991-07-05       Impact factor: 47.728

6.  A method to identify protein sequences that fold into a known three-dimensional structure.

Authors:  J U Bowie; R Lüthy; D Eisenberg
Journal:  Science       Date:  1991-07-12       Impact factor: 47.728

Review 7.  Intermediates in the folding reactions of small proteins.

Authors:  P S Kim; R L Baldwin
Journal:  Annu Rev Biochem       Date:  1990       Impact factor: 23.643

Review 8.  Theory of protein folding: the energy landscape perspective.

Authors:  J N Onuchic; Z Luthey-Schulten; P G Wolynes
Journal:  Annu Rev Phys Chem       Date:  1997       Impact factor: 12.703

9.  Metastability of the folded states of globular proteins.

Authors:  J D Honeycutt; D Thirumalai
Journal:  Proc Natl Acad Sci U S A       Date:  1990-05       Impact factor: 11.205

10.  Principles that govern the folding of protein chains.

Authors:  C B Anfinsen
Journal:  Science       Date:  1973-07-20       Impact factor: 47.728

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  15 in total

1.  A statistical mechanical method to optimize energy functions for protein folding.

Authors:  U Bastolla; M Vendruscolo; E W Knapp
Journal:  Proc Natl Acad Sci U S A       Date:  2000-04-11       Impact factor: 11.205

2.  Evolution of functionality in lattice proteins.

Authors:  P D Williams; D D Pollock; R A Goldstein
Journal:  J Mol Graph Model       Date:  2001       Impact factor: 2.518

3.  Statistical properties of neutral evolution.

Authors:  Ugo Bastolla; Markus Porto; H Eduardo Roman; Michele Vendruscolo
Journal:  J Mol Evol       Date:  2003       Impact factor: 2.395

4.  Classifying proteinlike sequences in arbitrary lattice protein models using LatPack.

Authors:  Martin Mann; Daniel Maticzka; Rhodri Saunders; Rolf Backofen
Journal:  HFSP J       Date:  2008-11-26

5.  Universal distribution of protein evolution rates as a consequence of protein folding physics.

Authors:  Alexander E Lobkovsky; Yuri I Wolf; Eugene V Koonin
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-26       Impact factor: 11.205

6.  Accelerated simulation of evolutionary trajectories in origin-fixation models.

Authors:  Ashley I Teufel; Claus O Wilke
Journal:  J R Soc Interface       Date:  2017-02       Impact factor: 4.118

7.  Mutation bias favors protein folding stability in the evolution of small populations.

Authors:  Raul Mendez; Miriam Fritsche; Markus Porto; Ugo Bastolla
Journal:  PLoS Comput Biol       Date:  2010-05-06       Impact factor: 4.475

8.  Divergence, recombination and retention of functionality during protein evolution.

Authors:  Yanlong O Xu; Randall W Hall; Richard A Goldstein; David D Pollock
Journal:  Hum Genomics       Date:  2005-09       Impact factor: 4.639

9.  SELECTIVE ADVANTAGE OF RECOMBINATION IN EVOLVING PROTEIN POPULATIONS: A LATTICE MODEL STUDY.

Authors:  Paul D Williams; David D Pollock; Richard A Goldstein
Journal:  Int J Mod Phys C       Date:  2006-01       Impact factor: 1.176

10.  Analysing the origin of long-range interactions in proteins using lattice models.

Authors:  Orly Noivirt-Brik; Ron Unger; Amnon Horovitz
Journal:  BMC Struct Biol       Date:  2009-01-29
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