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EnGens: a computational framework for generation and analysis of representative protein conformational ensembles.
Conev, Anja; Rigo, Mauricio Menagatti; Devaurs, Didier; Fonseca, André Faustino; Kalavadwala, Hussain; de Freitas, Martiela Vaz; Clementi, Cecilia; Zanatta, Geancarlo; Antunes, Dinler Amaral; Kavraki, Lydia.
Afiliación
  • Conev A; Department of Computer Science, Rice University, Houston, TX 77005, USA.
  • Rigo MM; Department of Computer Science, Rice University, Houston, TX 77005, USA.
  • Devaurs D; MRC Institute of Genetics and Cancer, University of Edinburgh, EH4 2XU, UK.
  • Fonseca AF; Department of Biology and Biochemistry, University of Houston, Houston, TX 77004, USA.
  • Kalavadwala H; Department of Biology and Biochemistry, University of Houston, Houston, TX 77004, USA.
  • de Freitas MV; Department of Biology and Biochemistry, University of Houston, Houston, TX 77004, 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, TX 77004, USA.
  • Kavraki L; Department of Computer Science, Rice University, Houston, TX 77005, USA.
bioRxiv ; 2023 Apr 28.
Article en En | MEDLINE | ID: mdl-37163076

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos