Literature DB >> 9094335

Comparison of database potentials and molecular mechanics force fields.

J Moult1.   

Abstract

The advantages and disadvantages of database and molecular mechanics force fields for the study of macromolecules are compared, with emphasis on the ability to distinguish between correct and incorrect structures. Molecular mechanics force fields have the advantage of resting on a clear theoretical basis, permitting an in-depth analysis of different contributions. On the other hand, large simplifications are necessary for tractable computing, and there has so far been little effective testing at the macromolecular level. Database potentials allow greater freedom of functional form and have been shown to be effective at discriminating between correct and incorrect complete structures. The principal negative is a controversial relationship to free energy. More testing and comparison of both sorts of potential are needed.

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Year:  1997        PMID: 9094335     DOI: 10.1016/s0959-440x(97)80025-5

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


  37 in total

1.  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

2.  Statistical potentials for fold assessment.

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

3.  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

4.  Propensities, probabilities, and the Boltzmann hypothesis.

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

5.  Structure-based thermodynamic analysis of the dissociation of protein phosphatase-1 catalytic subunit and microcystin-LR docked complexes.

Authors:  P Lavigne; J R Bagu; R Boyko; L Willard; C F Holmes; B D Sykes
Journal:  Protein Sci       Date:  2000-02       Impact factor: 6.725

6.  The dependence of all-atom statistical potentials on structural training database.

Authors:  Chi Zhang; Song Liu; Hongyi Zhou; Yaoqi Zhou
Journal:  Biophys J       Date:  2004-06       Impact factor: 4.033

7.  Database-derived potentials dependent on protein size for in silico folding and design.

Authors:  Yves Dehouck; Dimitri Gilis; Marianne Rooman
Journal:  Biophys J       Date:  2004-07       Impact factor: 4.033

8.  Pair potentials for protein folding: choice of reference states and sensitivity of predicted native states to variations in the interaction schemes.

Authors:  M R Betancourt; D Thirumalai
Journal:  Protein Sci       Date:  1999-02       Impact factor: 6.725

9.  Recovering physical potentials from a model protein databank.

Authors:  J W Mullinax; W G Noid
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-01       Impact factor: 11.205

10.  Reference state for the generalized Yvon-Born-Green theory: application for coarse-grained model of hydrophobic hydration.

Authors:  J W Mullinax; W G Noid
Journal:  J Chem Phys       Date:  2010-09-28       Impact factor: 3.488

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