Author

Prashant K. Khade

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Pharmacology & Toxicology· 1

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

Frequent Co-Authors

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

Activity by Year

2017-2017 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperPharmacology & Toxicology

Giuseppe Galletti

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1 paper

Recent·Most cited

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

Neel S. Madhukar, Prashant K. Khade, Linda Huang, Kaitlyn Gayvert, Giuseppe Galletti, Martin Stogniew, Joshua E. Allen, Paraskevi Giannakakou, 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.

bioRxiv · May 7, 2017 · PreprintPharmacology & Toxicology