Literature DB >> 10322206

Designing potential energy functions for protein folding.

M H Hao1, H A Scheraga.   

Abstract

By following a consistent line of physical reasoning, some fundamental understanding about the foldability of proteins has been achieved. In recent years, this has led to the development of a number of successful algorithms for optimizing potential energy functions for folding protein models. The differences between the folding mechanisms of simple, contact-based lattice proteins and more traditional, realistic protein models, however, still call for further development of the potentials in addition to the optimization approaches.

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Year:  1999        PMID: 10322206     DOI: 10.1016/s0959-440x(99)80026-8

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  14 in total

Review 1.  Go-ing for the prediction of protein folding mechanisms.

Authors:  S Takada
Journal:  Proc Natl Acad Sci U S A       Date:  1999-10-12       Impact factor: 11.205

2.  Environment-dependent residue contact energies for proteins.

Authors:  C Zhang; S H Kim
Journal:  Proc Natl Acad Sci U S A       Date:  2000-03-14       Impact factor: 11.205

3.  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

4.  Scoring functions in protein folding and design.

Authors:  R I Dima; J R Banavar; A Maritan
Journal:  Protein Sci       Date:  2000-04       Impact factor: 6.725

5.  A method for optimizing potential-energy functions by a hierarchical design of the potential-energy landscape: application to the UNRES force field.

Authors:  Adam Liwo; Piotr Arłukowicz; Cezary Czaplewski; Stanislaw Ołdziej; Jaroslaw Pillardy; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

6.  Distance-scaled, finite ideal-gas reference state improves structure-derived potentials of mean force for structure selection and stability prediction.

Authors:  Hongyi Zhou; Yaoqi Zhou
Journal:  Protein Sci       Date:  2002-11       Impact factor: 6.725

7.  Interatomic potentials and solvation parameters from protein engineering data for buried residues.

Authors:  Andrei L Lomize; Mikhail Y Reibarkh; Irina D Pogozheva
Journal:  Protein Sci       Date:  2002-08       Impact factor: 6.725

8.  Three-body interactions improve the prediction of rate and mechanism in protein folding models.

Authors:  M R Ejtehadi; S P Avall; S S Plotkin
Journal:  Proc Natl Acad Sci U S A       Date:  2004-10-06       Impact factor: 11.205

9.  Inferring ideal amino acid interaction forms from statistical protein contact potentials.

Authors:  Piotr Pokarowski; Andrzej Kloczkowski; Robert L Jernigan; Neha S Kothari; Maria Pokarowska; Andrzej Kolinski
Journal:  Proteins       Date:  2005-04-01

Review 10.  Challenges in the computational design of proteins.

Authors:  María Suárez; Alfonso Jaramillo
Journal:  J R Soc Interface       Date:  2009-03-11       Impact factor: 4.118

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