Machine Learning in Drug Discovery and Development Part 1: A Primer

Author:

Talevi Alan1,Morales Juan Francisco1,Hather Gregory2,Podichetty Jagdeep T.3,Kim Sarah4ORCID,Bloomingdale Peter C.5,Kim Samuel6,Burton Jackson3,Brown Joshua D.7,Winterstein Almut G.7ORCID,Schmidt Stephan4,White Jensen Kael3,Conrado Daniela J.8

Affiliation:

1. Laboratorio de Investigación y Desarrollo de Bioactivos (LIDeB) Faculty of Exact Sciences National University of La Plata (UNLP) Buenos Aires Argentina

2. Statistical & Quantitative Sciences Takeda Pharmaceuticals Cambridge Massachusetts USA

3. Quantitative Medicine Critical Path Institute Tucson Arizona USA

4. Center for Pharmacometrics and Systems Pharmacology Department of Pharmaceutics College of Pharmacy University of Florida Orlando Florida USA

5. Quantitative Pharmacology and Pharmacometrics Merck & Co. Inc Kenilworth New Jersey USA

6. Canary Speech LLC Provo Utah USA

7. Center for Drug Evaluation and Safety Department of Pharmaceutical Outcomes and Policy College of Pharmacy University of Florida Gainesville Florida USA

8. e‐Quantify LLC La JollaCalifornia USA

Publisher

Wiley

Subject

Pharmacology (medical),Modelling and Simulation

Reference92 articles.

1. How artificial intelligence is changing drug discovery

2. Counting the cost of failure in drug development. Pharmaceutical Technology (2017).

3. I.—COMPUTING MACHINERY AND INTELLIGENCE

4. Samuel A.L.Memorial resolution (2011).

5. Thota S.The evolution of machine learning..

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