Protein structure prediction on 2D square HP lattice with revised fitness function

Sandhya Parasnath Dubey; N. Gopalakrishna Kini; S. Balaji; M. Sathish Kumar

doi:10.1109/ICACCI.2017.8126094

Protein structure prediction on 2D square HP lattice with revised fitness function

Sandhya Parasnath Dubey, N. Gopalakrishna Kini, S. Balaji, M. Sathish Kumar

Department of Data Science and Computer Applications, Manipal Institute of Technology, Manipal
Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal
Department of Biotechnology, Manipal Institute of Technology, Manipal
Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1732-1736
Number of pages	5
Volume	2017-January
ISBN (Electronic)	9781509063673
DOIs	https://doi.org/10.1109/ICACCI.2017.8126094
Publication status	Published - 30-11-2017
Event	2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India Duration: 13-09-2017 → 16-09-2017

Conference

Conference	2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
Country/Territory	India
City	Manipal, Mangalore
Period	13-09-17 → 16-09-17

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Information Systems

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10.1109/ICACCI.2017.8126094

Cite this

Dubey, S. P., Gopalakrishna Kini, N., Balaji, S., & Sathish Kumar, M. (2017). Protein structure prediction on 2D square HP lattice with revised fitness function. In 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 (Vol. 2017-January, pp. 1732-1736). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACCI.2017.8126094

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abstract = "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.",

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Dubey, SP , Gopalakrishna Kini, N , Balaji, S & Sathish Kumar, M 2017, Protein structure prediction on 2D square HP lattice with revised fitness function. in 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1732-1736, 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Manipal, Mangalore, India, 13-09-17. https://doi.org/10.1109/ICACCI.2017.8126094

Protein structure prediction on 2D square HP lattice with revised fitness function. / Dubey, Sandhya Parasnath ; Gopalakrishna Kini, N.; Balaji, S. et al.
2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 1732-1736.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Protein structure prediction on 2D square HP lattice with revised fitness function

AU - Dubey, Sandhya Parasnath

AU - Gopalakrishna Kini, N.

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AU - Sathish Kumar, M.

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N2 - 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.

AB - 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.

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BT - 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017

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Dubey SP , Gopalakrishna Kini N , Balaji S , Sathish Kumar M. Protein structure prediction on 2D square HP lattice with revised fitness function. In 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1732-1736 doi: 10.1109/ICACCI.2017.8126094

Protein structure prediction on 2D square HP lattice with revised fitness function

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