Literature DB >> 28510038

MOLS sampling and its applications in structural biophysics.

L Ramya1, Shankaran Nehru Viji1, Pandurangan Arun Prasad2, Vadivel Kanagasabai3, Namasivayam Gautham4.   

Abstract

This review describes the MOLS method and its applications. This computational method has been developed in our laboratory primarily to explore the conformational space of small peptides and identify features of interest, particularly the minima, i.e., the low energy conformations. A systematic "brute-force" search through the vast conformational space for such features faces the insurmountable problem of combinatorial explosion, whilst other techniques, e.g., Monte Carlo searches, are somewhat limited in their region of exploration and may be considered inexhaustive. The MOLS method, on the other hand, uses a sampling technique commonly employed in experimental design theory to identify a small sample of the conformational space that nevertheless retains information about the entire space. The information is extracted using a technique that is a variant of the self-consistent mean field technique, which has been used to identify, for example, the optimal set of side-chain conformations in a protein. Applications of the MOLS method to understand peptide structure, predict the structures of loops in proteins, predict three-dimensional structures of small proteins, and arrive at the best conformation, orientation, and positions of a small molecule ligand in a protein receptor site have all yielded satisfactory results.

Keywords:  Conformational energy landscape; Docking; MOLS sampling; Peptide and protein conformations

Year:  2010        PMID: 28510038      PMCID: PMC5425679          DOI: 10.1007/s12551-010-0039-y

Source DB:  PubMed          Journal:  Biophys Rev        ISSN: 1867-2450


  51 in total

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Authors:  K Vengadesan; N Gautham
Journal:  Biopolymers       Date:  2004-08-15       Impact factor: 2.505

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Authors:  J Arunachalam; V Kanagasabai; N Gautham
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Authors:  S Nehru Viji; P Arun Prasad; N Gautham
Journal:  J Chem Inf Model       Date:  2009-12       Impact factor: 4.956

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Journal:  J Mol Biol       Date:  1996-03-01       Impact factor: 5.469

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Authors:  T C Terwilliger; D Eisenberg
Journal:  J Biol Chem       Date:  1982-06-10       Impact factor: 5.157

10.  Protein structure prediction center in CASP8.

Authors:  Andriy Kryshtafovych; Oleh Krysko; Pawel Daniluk; Zinovii Dmytriv; Krzysztof Fidelis
Journal:  Proteins       Date:  2009
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