Protocol for CAROM: A machine learning tool to predict post-translational regulation from metabolic signatures

This protocol describes CAROM, a computational tool that combines genome-scale metabolic networks (GEMs) and machine learning to identify enzyme targets of post-translational modifications (PTMs). Condition-specific enzyme and reaction properties are used to predict targets of phosphorylation and ac...

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Detalles Bibliográficos
Autores principales: Smith, Kirk, Rhoads, Nicole, Chandrasekaran, Sriram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630780/
https://www.ncbi.nlm.nih.gov/pubmed/36340881
http://dx.doi.org/10.1016/j.xpro.2022.101799

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630780/
https://www.ncbi.nlm.nih.gov/pubmed/36340881
http://dx.doi.org/10.1016/j.xpro.2022.101799

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