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From Supercomputing to Superfoods
Kirill Veselkov, PhD
Team Leader in Computational Medicine, Imperial College
The machine learning models based on propagated interactome network were able to predict anti-cancer drugs and potential repositioning candidates, with classification accuracy ~90%.
Relevant genes and pathways for machine learning based prediction of anti-cancer therapeutics tested in human trials. Up-to 15 gene-encoding proteins were selected from representative pathways.
• ~110 cancer-beating components from various foods were discovered
• Many hold Anti-inflammatory, Anti-oxidant & Chemo-preventive properties
• ~110 cancer-beating components from various foods were discovered
• Many hold Anti-inflammatory, Anti-oxidant & Chemo-preventive properties
K. Veselkov, et al. HyperFoods: Machine intelligence mapping of cancer-beating molecules in foods, 2019