Literature DB >> 9600887

Coupling the folding of homologous proteins.

C Keasar1, D Tobi, R Elber, J Skolnick.   

Abstract

The empirical observation that homologous proteins fold to similar structures is used to enhance the capabilities of an ab initio algorithm to predict protein conformations. A penalty function that forces homologous proteins to look alike is added to the potential and is employed in the coupled energy optimization of several homologous proteins. Significant improvement in the quality of the computed structures (as compared with the computational folding of a single protein) is demonstrated and discussed.

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Year:  1998        PMID: 9600887      PMCID: PMC34490          DOI: 10.1073/pnas.95.11.5880

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  4 in total

1.  Database of homology-derived protein structures and the structural meaning of sequence alignment.

Authors:  C Sander; R Schneider
Journal:  Proteins       Date:  1991

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

Authors:  C Keasar; R Elber; J Skolnick
Journal:  Fold Des       Date:  1997

3.  Monte Carlo simulations of protein folding. I. Lattice model and interaction scheme.

Authors:  A Kolinski; J Skolnick
Journal:  Proteins       Date:  1994-04

4.  Conformational flexibility in a small globular hormone: x-ray analysis of avian pancreatic polypeptide at 0.98-A resolution.

Authors:  I Glover; I Haneef; J Pitts; S Wood; D Moss; I Tickle; T Blundell
Journal:  Biopolymers       Date:  1983-01       Impact factor: 2.505

  4 in total
  3 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.  Roles of mutation and recombination in the evolution of protein thermodynamics.

Authors:  Yu Xia; Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-29       Impact factor: 11.205

3.  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

  3 in total

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