Uniting cheminformatics and chemical theory to predict the intrinsic aqueous solubility of crystalline druglike molecules. (2014)
Attributed to:
Machine Learning Approaches to Predict Enzyme Function
funded by
BBSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1021/ci4005805
PubMed Identifier: 24564264
Publication URI: http://europepmc.org/abstract/MED/24564264
Type: Journal Article/Review
Volume: 54
Parent Publication: Journal of chemical information and modeling
Issue: 3
ISSN: 1549-9596