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BioCRNpyler: Compiling chemical reaction networks from biomolecular parts in diverse contexts
Biochemical interactions in systems and synthetic biology are often modeled with chemical reaction networks (CRNs). CRNs provide a principled modeling environment capable of expressing a huge range of biochemical processes. In this paper, we present a software toolbox, written in Python, that compil...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060376/ https://www.ncbi.nlm.nih.gov/pubmed/35442944 http://dx.doi.org/10.1371/journal.pcbi.1009987 |