Bibliographic Details
| Title: |
Ensemble Geometric Deep Learning of Aqueous Solubility. |
| Authors: |
Ghahremanpour MM; Department of Chemistry, Yale University New Haven, Connecticut 06520-8107, United States., Saar A; Department of Chemistry, Yale University New Haven, Connecticut 06520-8107, United States., Tirado-Rives J; Department of Chemistry, Yale University New Haven, Connecticut 06520-8107, United States., Jorgensen WL; Department of Chemistry, Yale University New Haven, Connecticut 06520-8107, United States. |
| Source: |
Journal of chemical information and modeling [J Chem Inf Model] 2023 Dec 11; Vol. 63 (23), pp. 7338-7349. Date of Electronic Publication: 2023 Nov 21. |
| Publication Type: |
Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural |
| Journal Info: |
Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE |
| Database: |
MEDLINE Ultimate |
