Literature DB >> 8728654

Modeling side-chain conformation.

M Vásquez1.   

Abstract

Over the past few years, a number of methods for the calculation of side-chain conformations in proteins have been described. More recent studies have considered the effect of combinatorial packing, derivations from idealized rotameric structures and, to a limited extent, backbone flexibility on the quality and efficiency of calculations of protein side-chain conformation. Although further work is needed to address the issue of backbone displacements, the recent progress solves the packing problem to a significant degree. This opens the way for fruitful incorporation of these methods into general procedures for homology modeling and studies of ligand-protein interactions.

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Year:  1996        PMID: 8728654     DOI: 10.1016/s0959-440x(96)80077-7

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


  14 in total

1.  Meanfield approach to the thermodynamics of protein-solvent systems with application to p53.

Authors:  A R Völkel; J Noolandi
Journal:  Biophys J       Date:  2001-03       Impact factor: 4.033

2.  Side-chain modeling with an optimized scoring function.

Authors:  Shide Liang; Nick V Grishin
Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

3.  A stochastic algorithm for global optimization and for best populations: a test case of side chains in proteins.

Authors:  Meir Glick; Anwar Rayan; Amiram Goldblum
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-15       Impact factor: 11.205

Review 4.  Structural genomics: computational methods for structure analysis.

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

Review 5.  Advances in homology protein structure modeling.

Authors:  Zhexin Xiang
Journal:  Curr Protein Pept Sci       Date:  2006-06       Impact factor: 3.272

6.  Configurational-bias sampling technique for predicting side-chain conformations in proteins.

Authors:  Tushar Jain; David S Cerutti; J Andrew McCammon
Journal:  Protein Sci       Date:  2006-09       Impact factor: 6.725

7.  Factors affecting the use of 13C(alpha) chemical shifts to determine, refine, and validate protein structures.

Authors:  Jorge A Vila; Harold A Scheraga
Journal:  Proteins       Date:  2008-05-01

8.  Modeling mutations in protein structures.

Authors:  Eric Feyfant; Andrej Sali; András Fiser
Journal:  Protein Sci       Date:  2007-09       Impact factor: 6.725

Review 9.  SDSL-ESR-based protein structure characterization.

Authors:  Janez Strancar; Aleh Kavalenka; Iztok Urbancic; Ajasja Ljubetic; Marcus A Hemminga
Journal:  Eur Biophys J       Date:  2009-08-11       Impact factor: 1.733

10.  A quality metric for homology modeling: the H-factor.

Authors:  Eric di Luccio; Patrice Koehl
Journal:  BMC Bioinformatics       Date:  2011-02-04       Impact factor: 3.169

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