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Gale-Day, Zachary J., Shub, Laura, Chuang, Kangway V., Keiser, Michael J. (2024) Proximity Graph Networks: Predicting Ligand Affinity with Message Passing Neural Networks. Journal of Chemical Information and Modeling, 64 (14) 5439-5450 doi:10.1021/acs.jcim.4c00311

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Reference TypeJournal (article/letter/editorial)
TitleProximity Graph Networks: Predicting Ligand Affinity with Message Passing Neural Networks
JournalJournal of Chemical Information and Modeling
AuthorsGale-Day, Zachary J.Author
Shub, LauraAuthor
Chuang, Kangway V.Author
Keiser, Michael J.Author
Year2024 (July 22)Volume64
Page(s)5439-5450Issue14
PublisherAmerican Chemical Society (ACS)
DOIdoi:10.1021/acs.jcim.4c00311Search in ResearchGate
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Mindat Ref. ID17506001Long-form Identifiermindat:1:5:17506001:8
GUID0
Full ReferenceGale-Day, Zachary J., Shub, Laura, Chuang, Kangway V., Keiser, Michael J. (2024) Proximity Graph Networks: Predicting Ligand Affinity with Message Passing Neural Networks. Journal of Chemical Information and Modeling, 64 (14) 5439-5450 doi:10.1021/acs.jcim.4c00311
Plain TextGale-Day, Zachary J., Shub, Laura, Chuang, Kangway V., Keiser, Michael J. (2024) Proximity Graph Networks: Predicting Ligand Affinity with Message Passing Neural Networks. Journal of Chemical Information and Modeling, 64 (14) 5439-5450 doi:10.1021/acs.jcim.4c00311
In(2024, July) Journal of Chemical Information and Modeling Vol. 64 (14) American Chemical Society (ACS)

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