From Supercomputing to Superfoods

Kirill Veselkov, PhD

Team Leader in Computational Medicine, Imperial College

Thanks to Prof Pieter Dorrestein and Dr Alexander Aksenov

Can we identify drug-like molecules in foods?

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

Vodafone/Imperial DreamLab/DRUGS team:Thank you!