FiCoS: a fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks

Autor: Simone Spolaor, Paolo Cazzaniga, Leonardo Rundo, Giulia Capitoli, Marco S. Nobile, Giancarlo Mauri, Andrea Tangherloni, Daniela Besozzi

Publikováno v: PLoS Computational Biology, Vol 17, Iss 9, p e1009410 (2021)
PLoS Computational Biology
PLoS Computational Biology, 17(9):e1009410. Public Library of Science

Mathematical models of biochemical networks can largely facilitate the comprehension of the mechanisms at the basis of cellular processes, as well as the formulation of hypotheses that can be tested by means of targeted laboratory experiments. Howeve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c5ef324e5a7e0eb7e262c45afb48304
https://doi.org/10.1101/2021.01.15.426855