Literature DB >> 8728656

Genetic algorithms for protein structure prediction.

J T Pedersen1, J Moult.   

Abstract

Genetic algorithms are a general class of search methods that mimic natural gene-based optimization mechanisms. Mutation, cross-over and replication operations are performed on strings. When applied to structure prediction, each string describes a particular conformation of a protein molecule. There are many ways in which such search methods may be implemented. Recent results show potential for helping with protein structure prediction, but more data are needed before a complete assessment can be made.

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Year:  1996        PMID: 8728656     DOI: 10.1016/s0959-440x(96)80079-0

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


  10 in total

1.  Identification of an OCT4 and SRY regulatory module using integrated computational and experimental genomics approaches.

Authors:  Victor X Jin; Henriette O'Geen; Sushma Iyengar; Roland Green; Peggy J Farnham
Journal:  Genome Res       Date:  2007-06       Impact factor: 9.043

Review 2.  Evolutionary algorithms in computer-aided molecular design.

Authors:  D E Clark; D R Westhead
Journal:  J Comput Aided Mol Des       Date:  1996-08       Impact factor: 3.686

3.  Using ChIPMotifs for de novo motif discovery of OCT4 and ZNF263 based on ChIP-based high-throughput experiments.

Authors:  Brian A Kennedy; Xun Lan; Tim H-M Huang; Peggy J Farnham; Victor X Jin
Journal:  Methods Mol Biol       Date:  2012

4.  W-ChIPMotifs: a web application tool for de novo motif discovery from ChIP-based high-throughput data.

Authors:  Victor X Jin; Jeff Apostolos; Naga Satya Venkateswara Ra Nagisetty; Peggy J Farnham
Journal:  Bioinformatics       Date:  2009-10-01       Impact factor: 6.937

Review 5.  Finding the needle in the haystack: towards solving the protein-folding problem computationally.

Authors:  Bian Li; Michaela Fooksa; Sten Heinze; Jens Meiler
Journal:  Crit Rev Biochem Mol Biol       Date:  2017-10-04       Impact factor: 8.250

6.  Efficient sampling of protein conformational space using fast loop building and batch minimization on highly parallel computers.

Authors:  Michael D Tyka; Kenneth Jung; David Baker
Journal:  J Comput Chem       Date:  2012-07-27       Impact factor: 3.376

7.  Computational approach for protein structure prediction.

Authors:  Amouda Venkatesan; Jeyakodi Gopal; Manimozhi Candavelou; Sowjanya Gollapalli; Kayathri Karthikeyan
Journal:  Healthc Inform Res       Date:  2013-06-30

8.  Model of Early Stage Intermediate in Respect to Its Final Structure.

Authors:  Piotr Fabian; Katarzyna Stapor; Irena Roterman
Journal:  Biomolecules       Date:  2019-12-12

9.  The superior fault tolerance of artificial neural network training with a fault/noise injection-based genetic algorithm.

Authors:  Feng Su; Peijiang Yuan; Yangzhen Wang; Chen Zhang
Journal:  Protein Cell       Date:  2016-08-09       Impact factor: 14.870

10.  The evolution of logic circuits for the purpose of protein contact map prediction.

Authors:  Samuel D Chapman; Christoph Adami; Claus O Wilke; Dukka B Kc
Journal:  PeerJ       Date:  2017-04-18       Impact factor: 2.984

  10 in total

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