Symbolic kinetic models in python (SKiMpy): intuitive modeling of large-scale biological kinetic models.

Weilandt, Daniel R; Salvy, Pierre; Masid, Maria; Fengos, Georgios; Denhardt-Erikson, Robin; Hosseini, Zhaleh; Hatzimanikatis, Vassily

Weilandt, Daniel R; Salvy, Pierre; Masid, Maria; Fengos, Georgios; Denhardt-Erikson, Robin; Hosseini, Zhaleh; Hatzimanikatis, Vassily.

Afiliação

Weilandt DR; Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland.
Salvy P; Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland.
Masid M; Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland.
Fengos G; Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland.
Denhardt-Erikson R; Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland.
Hosseini Z; Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland.
Hatzimanikatis V; Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland.

Bioinformatics ; 39(1)2023 01 01.

Article em En | MEDLINE | ID: mdl-36495209

Assuntos

Modelos Biológicos; Software; Cinética; Documentação

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Modelos Biológicos Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suíça

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