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SnapDock-template-based docking by Geometric Hashing.
Estrin, Michael; Wolfson, Haim J.
Afiliación
  • Estrin M; Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
  • Wolfson HJ; Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
Bioinformatics ; 33(14): i30-i36, 2017 Jul 15.
Article en En | MEDLINE | ID: mdl-28881968
MOTIVATION: A highly efficient template-based protein-protein docking algorithm, nicknamed SnapDock, is presented. It employs a Geometric Hashing-based structural alignment scheme to align the target proteins to the interfaces of non-redundant protein-protein interface libraries. Docking of a pair of proteins utilizing the 22 600 interface PIFACE library is performed in < 2 min on the average. A flexible version of the algorithm allowing hinge motion in one of the proteins is presented as well. RESULTS: To evaluate the performance of the algorithm a blind re-modelling of 3547 PDB complexes, which have been uploaded after the PIFACE publication has been performed with success ratio of about 35%. Interestingly, a similar experiment with the template free PatchDock docking algorithm yielded a success rate of about 23% with roughly 1/3 of the solutions different from those of SnapDock. Consequently, the combination of the two methods gave a 42% success ratio. AVAILABILITY AND IMPLEMENTATION: A web server of the application is under development. CONTACT: michaelestrin@gmail.com or wolfson@tau.ac.il.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional / Mapeo de Interacción de Proteínas / Simulación del Acoplamiento Molecular Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Israel

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional / Mapeo de Interacción de Proteínas / Simulación del Acoplamiento Molecular Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Israel