Literature DB >> 7648326

Knowledge-based potentials for proteins.

M J Sippl1.   

Abstract

Knowledge based potentials and energy functions are extracted from a number of databases of known protein structures. Recent developments have shown that this type of potential is successful in many areas of protein structure research. Among these are quality assessment and error recognition of folds and the prediction of unknown structures by fold-recognition techniques.

Mesh:

Substances:

Year:  1995        PMID: 7648326     DOI: 10.1016/0959-440x(95)80081-6

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


  152 in total

1.  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

2.  Statistical potentials for fold assessment.

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

3.  Modeling of the structural features of integral-membrane proteins reverse-environment prediction of integral membrane protein structure (REPIMPS).

Authors:  S Dastmalchi; M B Morris; W B Church
Journal:  Protein Sci       Date:  2001-08       Impact factor: 6.725

4.  Enhanced protein fold recognition using secondary structure information from NMR.

Authors:  D J Ayers; P R Gooley; A Widmer-Cooper; A E Torda
Journal:  Protein Sci       Date:  1999-05       Impact factor: 6.725

5.  Propensities, probabilities, and the Boltzmann hypothesis.

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

6.  Interhelical angle and distance preferences in globular proteins.

Authors:  Sangyoon Lee; Gregory S Chirikjian
Journal:  Biophys J       Date:  2004-02       Impact factor: 4.033

Review 7.  Structural genomics: computational methods for structure analysis.

Authors:  Sharon Goldsmith-Fischman; Barry Honig
Journal:  Protein Sci       Date:  2003-09       Impact factor: 6.725

8.  Design of an optimal Chebyshev-expanded discrimination function for globular proteins.

Authors:  Boris Fain; Yu Xia; Michael Levitt
Journal:  Protein Sci       Date:  2002-08       Impact factor: 6.725

9.  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

10.  Solvent accessible surface area approximations for rapid and accurate protein structure prediction.

Authors:  Elizabeth Durham; Brent Dorr; Nils Woetzel; René Staritzbichler; Jens Meiler
Journal:  J Mol Model       Date:  2009-02-21       Impact factor: 1.810

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.