Please use this identifier to cite or link to this item: http://jadunivdspace.jdvu.ac.in/handle/123456789/29107
Title: Ab-Initio Protein Structure Prediction using Bacterial Foraging Optimization Algorithm
Authors: Ghosh, Susmita
Pal, Abantika
Keywords: Computer Science & Engineering
Issue Date: 2014
Abstract: The protein structure prediction (PSP) problem is concerned with the prediction of native tertiary structure of a protein given its sequence of amino acids. Ab-initio approach to PSP problem assumes that native conformation of protein corresponds to the global minimum free energy state. The potential energy used to evaluate the conformation of a protein is based on different interaction energies. In the present work, potential energy function Chemistry at HARvard Macromolecular Mechanics (CHARMM) has been used to qualitatively assess the conformations. Backbone and side-chain torsion angles are used to represent each conformation. In the present thesis, we have used Bacterial Foraging Optimization Algorithm as a search procedure for exploring the conformational space of the PSP problem. Results obtained indicate that this is another promising way of finding the stable structure of protein.
Description: Full Text
URI: http://dspace.jdvu.ac.in/handle/123456789/29107
Appears in Collections:Computer Science & Engineering - Master's Degree Theses

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