A hybrid model to predict proteins tertiary structure
Yousef M.; Abdelkader, Tamer; Elbahnasy K.;
Abstract
© 2017 IEEE. In this paper, we study the impact of using a hybrid-technique approach, which is a combination of genetic algorithm (GA) and protein's free energy minimization calculations, to predict protein tertiary structure. We compare the results with a basic approach which applies genetic algorithm only. A genetic algorithm is used to predict the protein structure using the primary structure, the amino acids sequence of a given polypeptide chain, as input. After that, we combine the GA with energy minimization feature. Finally, the outcomes of both experiments are analyzed. Results reveal that the hybrid approach outperforms the basic one.
Other data
| Title | A hybrid model to predict proteins tertiary structure | Authors | Yousef M. ; Abdelkader, Tamer ; Elbahnasy K. | Issue Date | 28-Jan-2018 | Journal | Proceedings of ICCES 2017 12th International Conference on Computer Engineering and Systems | ISBN | 9781538611913 | DOI | https://api.elsevier.com/content/abstract/scopus_id/85046545026 85 2018-January 10.1109/ICCES.2017.8275282 |
Scopus ID | 2-s2.0-85046545026 |
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