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Performance of ZDOCK and IRAD in CAPRI rounds 39-45.
Vreven, Thom; Vangaveti, Sweta; Borrman, Tyler M; Gaines, Jennifer C; Weng, Zhiping.
Afiliación
  • Vreven T; Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts.
  • Vangaveti S; Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts.
  • Borrman TM; Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts.
  • Gaines JC; Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts.
  • Weng Z; Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts.
Proteins ; 88(8): 1050-1054, 2020 08.
Article en En | MEDLINE | ID: mdl-31994784
ABSTRACT
We report docking performance on the six targets of Critical Assessment of PRedicted Interactions (CAPRI) rounds 39-45 that involved heteromeric protein-protein interactions and had the solved structures released since the rounds were held. Our general strategy involved protein-protein docking using ZDOCK, reranking using IRAD, and structural refinement using Rosetta. In addition, we made extensive use of experimental data to guide our docking runs. All the experimental information at the amino-acid level proved correct. However, for two targets, we also used protein-complex structures as templates for modeling interfaces. These resulted in incorrect predictions, presumably due to the low sequence identity between the targets and templates. Albeit a small number of targets, the performance described here compared somewhat less favorably with our previous CAPRI reports, which may be due to the CAPRI targets being increasingly challenging.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Péptidos / Programas Informáticos / Proteínas / Simulación del Acoplamiento Molecular Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Proteins Asunto de la revista: BIOQUIMICA Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Péptidos / Programas Informáticos / Proteínas / Simulación del Acoplamiento Molecular Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Proteins Asunto de la revista: BIOQUIMICA Año: 2020 Tipo del documento: Article
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