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Using Integrative Modeling Platform to compute, validate, and archive a model of a protein complex structure.
Saltzberg, Daniel J; Viswanath, Shruthi; Echeverria, Ignacia; Chemmama, Ilan E; Webb, Ben; Sali, Andrej.
Afiliação
  • Saltzberg DJ; Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, and California Institute for Quantitative Biosciences, University of California, San Francisco, California, USA.
  • Viswanath S; National Center for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, India.
  • Echeverria I; Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, and California Institute for Quantitative Biosciences, University of California, San Francisco, California, USA.
  • Chemmama IE; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA.
  • Webb B; Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, and California Institute for Quantitative Biosciences, University of California, San Francisco, California, USA.
  • Sali A; Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, and California Institute for Quantitative Biosciences, University of California, San Francisco, California, USA.
Protein Sci ; 30(1): 250-261, 2021 01.
Article em En | MEDLINE | ID: mdl-33166013
Biology is advanced by producing structural models of biological systems, such as protein complexes. Some systems are recalcitrant to traditional structure determination methods. In such cases, it may still be possible to produce useful models by integrative structure determination that depends on simultaneous use of multiple types of data. An ensemble of models that are sufficiently consistent with the data is produced by a structural sampling method guided by a data-dependent scoring function. The variation in the ensemble of models quantified the uncertainty of the structure, generally resulting from the uncertainty in the input information and actual structural heterogeneity in the samples used to produce the data. Here, we describe how to generate, assess, and interpret ensembles of integrative structural models using our open source Integrative Modeling Platform program (https://integrativemodeling.org).
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Modelos Moleculares / Bases de Dados de Proteínas / Complexos Multiproteicos Tipo de estudo: Prognostic_studies Idioma: En Revista: Protein Sci Assunto da revista: BIOQUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Modelos Moleculares / Bases de Dados de Proteínas / Complexos Multiproteicos Tipo de estudo: Prognostic_studies Idioma: En Revista: Protein Sci Assunto da revista: BIOQUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos