LightDock: a new multi-scale approach to protein–protein docking

Computational prediction of protein–protein complex structure by docking can provide structural and mechanistic insights for protein interactions of biomedical interest. However, current methods struggle with difficult cases, such as those involving flexible proteins, low-affinity complexes or trans...

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Detalles Bibliográficos
Autores: Jiménez-García, Brian, Roel-Touris, Jorge, Romero-Durana, Miguel, Vidal, Miquel|||0000-0002-1973-8289, Jiménez-González, Daniel, Fernández-Recio, Juan
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/114893
Acceso en línea:https://hdl.handle.net/2117/114893
https://dx.doi.org/10.1093/bioinformatics/btx555
Access Level:acceso abierto
Palabra clave:Protein-protein interactions
Structural bioinformatics
Protein–protein
Protein docking
Proteïnes--Investigació
Àrees temàtiques de la UPC::Enginyeria biomèdica
Descripción
Sumario:Computational prediction of protein–protein complex structure by docking can provide structural and mechanistic insights for protein interactions of biomedical interest. However, current methods struggle with difficult cases, such as those involving flexible proteins, low-affinity complexes or transient interactions. A major challenge is how to efficiently sample the structural and energetic landscape of the association at different resolution levels, given that each scoring function is often highly coupled to a specific type of search method. Thus, new methodologies capable of accommodating multi-scale conformational flexibility and scoring are strongly needed. We describe here a new multi-scale protein–protein docking methodology, LightDock, capable of accommodating conformational flexibility and a variety of scoring functions at different resolution levels. Implicit use of normal modes during the search and atomic/coarse-grained combined scoring functions yielded improved predictive results with respect to state-of-the-art rigid-body docking, especially in flexible cases.