Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Iryna Fefelova"'
Publikováno v:
2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).
Publikováno v:
Lecture Notes in Computational Intelligence and Decision Making ISBN: 9783030820138
The methods for protein structure prediction are based on the thermodynamic hypothesis, according to which the free energy of the “protein-solvent” system is minimal in the folded state of protein. By predicting the tertiary protein structure, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8394aa1cbc24a8cc0d05eb1050a7304c
https://doi.org/10.1007/978-3-030-82014-5_21
https://doi.org/10.1007/978-3-030-82014-5_21
Predicting the Protein Tertiary Structure by Hybrid Clonal Selection Algorithms on 3D Square Lattice
Autor:
Eduard Ryzhkov, Mariia Voronenko, A. I. Kornelyuk, Volodymyr Lytvynenko, Andrey Fefelov, Anatoliy Sachenko, Iryna Fefelova
Publikováno v:
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET).
The article considers the task of predicting the tertiary structure of a protein based on its primary sequence. The task of protein folding is solved by searching for conformation with minimal energy, if you look in terms of optimization problem. The
Autor:
Iryna Fefelova, Iryna Lurie, Nataliia Savina, Andrey Fefelov, Róża Dzierżak, Volodymyr Lytvynenko, Svitlana Vyshemyrska, Mariia Voronenko
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030264734
ISDMCI
ISDMCI
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.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b7eac2d177fced79e4fab2b14fc86d5
https://doi.org/10.1007/978-3-030-26474-1_47
https://doi.org/10.1007/978-3-030-26474-1_47