Extended HP model for protein structure prediction

Title: Extended HP model for protein structure prediction
Creator: Hoque, Md Tamjidul; Chetty, Madhu; Sattar, Abdul
Date: 2009
Type: Text; Journal article
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/67846
Identifier: vital:5949
Identifier: ISSN:1545-5963
Abstract: This paper presents the impact of twins and the measures for their removal from the population of genetic algorithm (GA) when applied to effective conformational searching. It is conclusively shown that a twin removal strategy for a GA provides considerably enhanced performance when investigating solutions to complex ab initio protein structure prediction (PSP) problems in low-resolution model. Without twin removal, GA crossover and mutation operations can become ineffectual as generations lose their ability to produce significant differences, which can lead to the solution stalling. The paper relaxes the definition of chromosomal twins in the removal strategy to not only encompass identical, but also highly correlated chromosomes within the GA population, with empirical results consistently exhibiting significant improvements solving PSP problems.
Relation: Computational Biology and Bioinformatics Vol. Jan-Feb 2011, no. (2009 ), p. 234-245
Rights: Copyright IEEE
Rights: This metadata is freely available under a CCO license
Subject: 01 Mathematical Sciences; 06 Biological Sciences; 08 Information and Computing Sciences
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