Multitask Machine Learning for Classifying Highly and Weakly Potent Kinase Inhibitors-Reference-Cited by-同舟云学术

Multitask Machine Learning for Classifying Highly and Weakly Potent Kinase Inhibitors

Published:2019-02-27 Issue:2 Volume:4 Page:4367-4375
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Rodríguez-Pérez Raquel¹²,Bajorath Jürgen¹^ORCID

Affiliation:

1. Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Endenicher Allee 19c, D-53115 Bonn, Germany

2. Department of Medicinal Chemistry, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88397 Biberach/Riß, Germany

Funder

European Union Horizon 2020 Marie Sklodowska-Curie

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acsomega.9b00298

Reference38 articles.

1. Machine Learning Methods for Property Prediction in Chemoinformatics: Quo Vadis?

2. Deep Learning in Drug Discovery

3. Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships

4. A renaissance of neural networks in drug discovery

5. The Next Era: Deep Learning in Pharmaceutical Research

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