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Integrative structure modeling with the Integrative Modeling Platform.
Webb, Benjamin; Viswanath, Shruthi; Bonomi, Massimiliano; Pellarin, Riccardo; Greenberg, Charles H; Saltzberg, Daniel; Sali, Andrej.
Afiliación
  • Webb B; California Institute for Quantitative Biosciences, University of California, San Francisco, California, 94158.
  • Viswanath S; California Institute for Quantitative Biosciences, University of California, San Francisco, California, 94158.
  • Bonomi M; Department of Chemistry, University of Cambridge, Cambridge, United Kingdom.
  • Pellarin R; Structural Bioinformatics Unit, Institut Pasteur, CNRS UMR 3528, Paris, France.
  • Greenberg CH; California Institute for Quantitative Biosciences, University of California, San Francisco, California, 94158.
  • Saltzberg D; California Institute for Quantitative Biosciences, University of California, San Francisco, California, 94158.
  • Sali A; California Institute for Quantitative Biosciences, University of California, San Francisco, California, 94158.
Protein Sci ; 27(1): 245-258, 2018 01.
Article en En | MEDLINE | ID: mdl-28960548
Building models of a biological system that are consistent with the myriad data available is one of the key challenges in biology. Modeling the structure and dynamics of macromolecular assemblies, for example, can give insights into how biological systems work, evolved, might be controlled, and even designed. Integrative structure modeling casts the building of structural models as a computational optimization problem, for which information about the assembly is encoded into a scoring function that evaluates candidate models. Here, we describe our open source software suite for integrative structure modeling, Integrative Modeling Platform (https://integrativemodeling.org), and demonstrate its use.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Simulación por Computador / Programas Informáticos / Modelos Moleculares / Biología Computacional Tipo de estudio: Prognostic_studies Idioma: En Revista: Protein Sci Asunto de la revista: BIOQUIMICA Año: 2018 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Simulación por Computador / Programas Informáticos / Modelos Moleculares / Biología Computacional Tipo de estudio: Prognostic_studies Idioma: En Revista: Protein Sci Asunto de la revista: BIOQUIMICA Año: 2018 Tipo del documento: Article Pais de publicación: Estados Unidos