Computational approach for protein structure prediction.

ABSTRACT:

Objectives

To predict the structure of protein, which dictates the function it performs, a newly designed algorithm is developed which blends the concept of self-organization and the genetic algorithm.

Methods

Among many other approaches, genetic algorithm is found to be a promising cooperative computational method to solve protein structure prediction in a reasonable time. To automate the right choice of parameter values the influence of self-organization is adopted to design a new genetic operator to optimize the process of prediction. Torsion angles, the local structural parameters which define the backbone of protein are considered to encode the chromosome that enhances the quality of the confirmation. Newly designed self-configured genetic operators are used to develop

SUBMITTER: Venkatesan A 

PROVIDER: S-EPMC3717437 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature