Multi-objective active machine learning rapidly improves structure–activity models and reveals new protein–protein interaction inhibitors-Reference-Cited by-同舟云学术

Multi-objective active machine learning rapidly improves structure–activity models and reveals new protein–protein interaction inhibitors

Published:2016 Issue:6 Volume:7 Page:3919-3927
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Reker D.¹²³⁴^ORCID,Schneider P.¹²³⁴,Schneider G.¹²³⁴

Affiliation:

1. Department of Chemistry and Applied Biosciences

2. ETH Zürich

3. 8093 Zürich

4. Switzerland

Abstract

Active machine learning puts artificial intelligence in charge of a sequential, feedback-driven discovery process.

Funder

Swiss National Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2016/SC/C5SC04272K

Reference60 articles.

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5. Functional genomic hypothesis generation and experimentation by a robot scientist

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