Precise metabolic dependencies of cancer through deep learning and validations

Abstract excerpt

<h4>Summary</h4> Cancer cells exhibit metabolic reprogramming to sustain proliferation, creating metabolic vulnerabilities absent in normal cells. While prior studies identified specific metabolic dependencies, systematic insights remain limited. Here we build a graph deep learning based metabolic vulnerability prediction model “DeepMeta”, which can accurately predict the dependent metabolic genes for cancer samp...

Topics

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• Cell Line, Tumor
• Cellular Reprogramming
• Clustered Regularly Interspaced Short Palindromic Repeats
• Computational Biology
• Metabolic Networks and Pathways
• Mutation
• Neoplasms
• Reproducibility of Results

Identifiers and source

Literature Corpus work

35e64bff-32ad-544b-a9be-3106f1f032a6

DOI

10.1101/2025.02.26.640327