Literature DB >> 9094333

Empirical potentials and functions for protein folding and binding.

S Vajda1, M Sippl, J Novotny.   

Abstract

Simplified models and empirical potentials are being increasingly used for the analysis of proteins, frequently augmenting or replacing molecular mechanics approaches. Recent folding simulations have employed potentials that, in addition to terms assuring proper polypeptide geometry, include only two noncovalent effects-hydrogen bonding and hydrophobicity, with extremely simple approximations to the latter. The potentials that have been used in the free-energy ranking of protein-ligand complexes have generally been more involved. These potentials have more detailed solvation models and account for both local (hydrophobic and polar) solute-solvent phenomena and long range electrostatic solvation effects. The models of solvation that have been used most frequently are surface area related atomic parameters, knowledge-based models extracted from protein-structure data, and continum electrostatics with an additional area-related parameter. The knowledge-based approaches to solvation, although convenient and accurate enough, are suspect of double counting certain free-energy terms.

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Mesh:

Year:  1997        PMID: 9094333     DOI: 10.1016/s0959-440x(97)80029-2

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


  31 in total

1.  A systematic study of low-resolution recognition in protein--protein complexes.

Authors:  I A Vakser; O G Matar; C F Lam
Journal:  Proc Natl Acad Sci U S A       Date:  1999-07-20       Impact factor: 11.205

2.  Selecting near-native conformations in homology modeling: the role of molecular mechanics and solvation terms.

Authors:  A Janardhan; S Vajda
Journal:  Protein Sci       Date:  1998-08       Impact factor: 6.725

3.  Comparison of binding energies of SrcSH2-phosphotyrosyl peptides with structure-based prediction using surface area based empirical parameterization.

Authors:  D A Henriques; J E Ladbury; R M Jackson
Journal:  Protein Sci       Date:  2000-10       Impact factor: 6.725

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

Authors:  Y N Vorobjev; J Hermans
Journal:  Protein Sci       Date:  2001-12       Impact factor: 6.725

5.  Statistical potentials for fold assessment.

Authors:  Francisco Melo; Roberto Sánchez; Andrej Sali
Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

6.  Composites of local structure propensities: evidence for local encoding of long-range structure.

Authors:  David Shortle
Journal:  Protein Sci       Date:  2002-01       Impact factor: 6.725

7.  Protein docking along smooth association pathways.

Authors:  C J Camacho; S Vajda
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-21       Impact factor: 11.205

8.  Development of unified statistical potentials describing protein-protein interactions.

Authors:  Hui Lu; Long Lu; Jeffrey Skolnick
Journal:  Biophys J       Date:  2003-03       Impact factor: 4.033

9.  Propensities, probabilities, and the Boltzmann hypothesis.

Authors:  David Shortle
Journal:  Protein Sci       Date:  2003-06       Impact factor: 6.725

10.  The role of geometric complementarity in secondary structure packing: a systematic docking study.

Authors:  Sulin Jiang; Andrei Tovchigrechko; Ilya A Vakser
Journal:  Protein Sci       Date:  2003-08       Impact factor: 6.725

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