Ab-Initio Protein Tertiary Structure Prediction Using Genetic Algorithm
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3
Abstract
Abstract : Proteins are vital components of all living cells and play a critical role in almost all biological processes. Protein structure identification is a significant challenging problem in computational biology. The Protein's three-dimensional (i.e., tertiary) molecular structure reflects its proper function. Therefore, theidentification of protein structure is a significant step towards understanding the protein's function which is an important role to synthesize new drugs and vaccine design; since many diseases are shown to result from malfunctioning of proteins. In this paper, we propose a new technique that is called Protein Tertiary Structure Prediction using Genetic Algorithm (PTSPGA) to predict the proteins structures based on their primary structure. We have developed a simple Elitist-based genetic algorithm technique for predicting the protein’s tertiary structure based on Ab-Initio Empirical Conformational Energy Program for Peptides (ECEPP/3) Force Field Model. The proposed GA was applied to find the lowest free energy conformation of the protein's sequence. The experimental results indicate that the PTSPGA is reliable and very accurate, and it is a promising new technique that can help researchers in predicting the protein tertiary structure and can be used in the intelligent design of new vaccines
Authors and Affiliations
Basem Ameen Moghram, Emad Nabil , Amr Badr
Keywords
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