Prediction of Promiscuity Cliffs Using Machine Learning-Reference-Cited by-同舟云学术

Prediction of Promiscuity Cliffs Using Machine Learning

Published:2020-09-29 Issue:1 Volume:40 Page:2000196
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Mol. Inf.

Author:

Blaschke Thomas¹,Feldmann Christian¹,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

Publisher

Wiley

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,Molecular Medicine,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/minf.202000196

Reference42 articles.

1. Compound promiscuity: what can we learn from current data?

2. Multi-target therapeutics: when the whole is greater than the sum of the parts

3. Polypharmacology: Challenges and Opportunities in Drug Discovery

4. Polypharmacology in a Single Drug: Multitarget Drugs

5. Polypharmacology: the rise of multitarget drugs over combination therapies

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