Protein Tertiary Structure Prediction with Hybrid Clonal Selection and Differential Evolution Algorithms
Fragment książki (Rozdział monografii pokonferencyjnej)
MNiSW
20
Poziom I
| Status: | |
| Autorzy: | Fefelova Iryna, Fefelov Andrey , Lytvynenko Volodymyr I., Dzierżak Róża, Lurie Iryna, Savina Nataliia B., Voronenko Mariia, Vyshemyrska Svitlana |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Strony: | 673 - 688 |
| Web of Science® Times Cited: | 0 |
| Scopus® Cytowania: | 2 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| The paper deals with the problem of protein tertiary structure prediction based on its primary sequence. From the point of view of the optimization problem, the problem of protein folding is reduced to the search for confirmation with minimal energy. To solve this problem, a hybrid artificial immune system has been proposed in the form of a combination of clonal selection and differential evolution algorithms. The developed hybrid algorithm uses special methods of encoding and decoding individuals, as well as an affinity function, which allows reducing the number of incorrect conformations (solutions with self-intersections). To test the algorithm, Dill’s hydrophobic-polar model on a two-dimensional square lattice was chosen. Experimental studies were conducted on test sequences, which showed the advantages of the developed algorithm over other existing methods. |
