Your browser doesn't support javascript.
loading
EnGens: a computational framework for generation and analysis of representative protein conformational ensembles.
Conev, Anja; Rigo, Mauricio Menegatti; Devaurs, Didier; Fonseca, André Faustino; Kalavadwala, Hussain; de Freitas, Martiela Vaz; Clementi, Cecilia; Zanatta, Geancarlo; Antunes, Dinler Amaral; Kavraki, Lydia E.
Afiliação
  • Conev A; Department of Computer Science, Rice University, Houston 77005, TX, USA.
  • Rigo MM; Department of Computer Science, Rice University, Houston 77005, TX, USA.
  • Devaurs D; MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK.
  • Fonseca AF; Department of Biology and Biochemistry, University of Houston, Houston 77004, TX, USA.
  • Kalavadwala H; Department of Biology and Biochemistry, University of Houston, Houston 77004, TX, USA.
  • de Freitas MV; Department of Biology and Biochemistry, University of Houston, Houston 77004, TX, USA.
  • Clementi C; Department of Physics, Freie Universität Berlin, Berlin 14195, Germany.
  • Zanatta G; Department of Biophysics, Institute of Biosciences, Federal University of Rio Grande do Sul, Porto Alegre 91501-970, Brazil.
  • Antunes DA; Department of Biology and Biochemistry, University of Houston, Houston 77004, TX, USA.
  • Kavraki LE; Department of Computer Science, Rice University, Houston 77005, TX, USA.
Brief Bioinform ; 24(4)2023 07 20.
Article em En | MEDLINE | ID: mdl-37418278

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Simulação de Dinâmica Molecular Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Simulação de Dinâmica Molecular Idioma: En Ano de publicação: 2023 Tipo de documento: Article