Prediction of Compound Profiling Matrices Using Machine Learning-Reference-Cited by-同舟云学术

Prediction of Compound Profiling Matrices Using Machine Learning

Published:2018-04-30 Issue:4 Volume:3 Page:4713-4723
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Rodríguez-Pérez Raquel¹,Miyao Tomoyuki¹,Jasial Swarit¹,Vogt Martin¹,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

Funder

H2020 Marie Sklodowska-Curie Actions

Japan Society for the Promotion of Science

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acsomega.8b00462

Reference56 articles.

1. Getting the most out of PubChem for virtual screening

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

3. Deep Learning in Drug Discovery

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

5. The rise of deep learning in drug discovery

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