Random Matrix Theory: The Best Classifier for prediction of Drug Binding?

The prediction of binding affinities of potential drug candidates is just one component of the drug discovery pipeline that is being disrupted by AI right now. Random Matrix Theory provides a classifying algorithm with a very high AUC, better than other existing methods.

Laksh
Towards Data Science
9 min readJul 2, 2019

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