A parallel evolutionary approach to the molecular docking problem

Daniel Espinosa-Galindo, Jesús A. Fernández-Flores, Inés A. Almanza-Román, Rosaura Palma-Orozco, J. Orge L. Rosas-Trigueros

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The ligand-protein molecular docking is an unsolved problem in Bioinformatics consisting in determining the way in which two such molecules bind in nature, depending on their structure and interaction. The solution of this problem is one of the core aims of Bioinformatics and the basis for the rational drug design process. Through the use of evolutionary and parallelization techniques, a new approach is presented, consisting of a threaded implementation of an island model genetic algorithm. The results show a mixed outcome, with an aided search version achieving quick and accurate predictions, while the more ambitious free search proposal still does not produce acceptable results. Additional advantages of the software obtained are cross-platform nature, reasonable performance on average consumer hardware and ease of use.

Idioma originalInglés
Título de la publicación alojadaHigh Performance Computing - 3rd Latin American Conference, CARLA 2016, Revised Selected Papers
EditoresCarlos Jaime Barrios Hernandez, Isidoro Gitler, Jaime Klapp
EditorialSpringer Verlag
Páginas257-268
Número de páginas12
ISBN (versión impresa)9783319579719
DOI
EstadoPublicada - 2017
Evento3rd Latin American Conference on High Performance Computing, CARLA 2016 - Mexico City, México
Duración: 29 ago. 20162 sep. 2016

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen697
ISSN (versión impresa)1865-0929

Conferencia

Conferencia3rd Latin American Conference on High Performance Computing, CARLA 2016
País/TerritorioMéxico
CiudadMexico City
Período29/08/162/09/16

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