EnGens: a computational framework for generation and analysis of representative protein conformational ensembles.

Autor: 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.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2023 Apr 28. Date of Electronic Publication: 2023 Apr 28.