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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

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