eToxPred: a machine learning-based approach to estimate the toxicity of drug candidates

Title
eToxPred: a machine learning-based approach to estimate the toxicity of drug candidates
Authors
Keywords
Virtual screening, Synthetic accessibility, Toxicity, Machine learning, Deep belief network, Extremely randomized trees
Journal
BMC Pharmacology & Toxicology
Volume 20, Issue 1, Pages -
Publisher
Springer Nature
Online
2019-01-09
DOI
10.1186/s40360-018-0282-6

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More