Protein Structure Prediction on 2D square HP lattice with revised fitness function

Dubey, Sandhya P and Kini, Gopalakrishna N and Kumar, Sathish M and Balaji, S (2017) Protein Structure Prediction on 2D square HP lattice with revised fitness function. In: International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013, 13/09/2017, Manipal Institute of Technology, Manipal.

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In order to understand the structure and folding of proteins, Hydrophobic-Polar (HP) model on 2D square lattice is one of the most explored models but parity problem of square lattice make it inefficient for biological applications. This work is dedicated to solve parity issues in 2D square lattice model. This work proposes a revised energy function and presents a case study for protein structure prediction (PSP). A novel approach to evaluate the structure modeling and protein folding problem over HP model is presented in this paper. This evaluation approach may enhance the quality and effectiveness of the computational approaches developed to address the PSP at coarse level.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Protein folding; Protein Structure Prediction; NP-Complete; HP Model; Evolutionary Algorithm
Subjects: Engineering > MIT Manipal > Biotechnology
Engineering > MIT Manipal > Computer Science and Engineering
Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 09 Dec 2017 10:07
Last Modified: 09 Dec 2017 10:07

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