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A Practical Guide to the Simultaneous Determination of Protein Structure and Dynamics Using Metainference.
Löhr, Thomas; Camilloni, Carlo; Bonomi, Massimiliano; Vendruscolo, Michele.
Afiliação
  • Löhr T; Department of Chemistry, University of Cambridge, Cambridge, UK.
  • Camilloni C; Dipartimento di Bioscienze, Università degli Studi di Milano, Milano, Italy.
  • Bonomi M; Structural Bioinformatics Unit, Institut Pasteur, CNRS UMR 3528, Paris, France.
  • Vendruscolo M; Department of Chemistry, University of Cambridge, Cambridge, UK. mv245@cam.ac.uk.
Methods Mol Biol ; 2022: 313-340, 2019.
Article em En | MEDLINE | ID: mdl-31396909
Accurate protein structural ensembles can be determined with metainference, a Bayesian inference method that integrates experimental information with prior knowledge of the system and deals with all sources of uncertainty and errors as well as with system heterogeneity. Furthermore, metainference can be implemented using the metadynamics approach, which enables the computational study of complex biological systems requiring extensive conformational sampling. In this chapter, we provide a step-by-step guide to perform and analyse metadynamic metainference simulations using the ISDB module of the open-source PLUMED library, as well as a series of practical tips to avoid common mistakes. Specifically, we will guide the reader in the process of learning how to model the structural ensemble of a small disordered peptide by combining state-of-the-art molecular mechanics force fields with nuclear magnetic resonance data, including chemical shifts, scalar couplings and residual dipolar couplings.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article