Author

Prashant K. Khade

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Pharmacology & Toxicology· 1

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

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Giuseppe Galletti· 1 shared Joshua E. Allen· 1 shared Kaitlyn Gayvert· 1 shared Linda Huang· 1 shared Martin Stogniew· 1 shared Neel S. Madhukar· 1 shared Olivier ElementoiD· 1 shared Paraskevi GiannakakouiD· 1 shared

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1 shared paperPharmacology & Toxicology

Giuseppe Galletti

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1 paper

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintMay 7, 2017

A New Big-Data Paradigm For Target Identification And Drug Discovery

Neel S. Madhukar, Prashant K. Khade, Linda Huang…·Olivier Elemento

This paper introduces BANDIT, a Bayesian machine-learning framework for drug target identification, achieving 90% accuracy in predicting targets for 2000 small molecules and validating novel microtubule inhibitors and the target of ONC201.

DOI 10.1101/134973

machine learning (classical)drug response / drug discovery

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