Literature DB >> 9269565

Simultaneous and coupled energy optimization of homologous proteins: a new tool for structure prediction.

C Keasar1, R Elber, J Skolnick.   

Abstract

BACKGROUND: Homology-based modeling and global optimization of energy are two complementary approaches to prediction of protein structures. A combination of the two approaches is proposed in which a novel component is added to the energy and forces similarity between homologous proteins.
RESULTS: The combination was tested for two families: pancreatic hormones and homeodomains. The simulated lowest-energy structure of the pancreatic hormones is a reasonable approximation to the native fold. The lowest-energy structure of the homeodomains has 80% of the native contacts, but the helices are not packed correctly. The fourth lowest energy structure of the homeodomains has the correct helix packing (RMS 5.4 A and 82% of the correct contacts). Optimizations of a single protein of the family yield considerably worse structures.
CONCLUSIONS: Use of coupled homologous proteins in the search for the native fold is more successful than the folding of a single protein in the family.

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Year:  1997        PMID: 9269565     DOI: 10.1016/S1359-0278(97)00033-3

Source DB:  PubMed          Journal:  Fold Des        ISSN: 1359-0278


  5 in total

1.  Improved recognition of native-like protein structures using a family of designed sequences.

Authors:  Patrice Koehl; Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-08       Impact factor: 11.205

2.  Protein structure prediction using basin-hopping.

Authors:  Michael C Prentiss; David J Wales; Peter G Wolynes
Journal:  J Chem Phys       Date:  2008-06-14       Impact factor: 3.488

3.  Coupling the folding of homologous proteins.

Authors:  C Keasar; D Tobi; R Elber; J Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  1998-05-26       Impact factor: 11.205

4.  Learning To Fold Proteins Using Energy Landscape Theory.

Authors:  N P Schafer; B L Kim; W Zheng; P G Wolynes
Journal:  Isr J Chem       Date:  2014-08       Impact factor: 3.333

Review 5.  Molecular dynamics: survey of methods for simulating the activity of proteins.

Authors:  Stewart A Adcock; J Andrew McCammon
Journal:  Chem Rev       Date:  2006-05       Impact factor: 60.622

  5 in total

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