@article{ebed8451fa3644bfb5df6a9b404be9d6,
title = "Artificial intelligence foundation for therapeutic science",
author = "Kexin Huang and Tianfan Fu and Wenhao Gao and Yue Zhao and Yusuf Roohani and Jure Leskovec and Coley, {Connor W.} and Cao Xiao and Jimeng Sun and Marinka Zitnik",
note = "K.H. and M.Z. gratefully acknowledge the support of US National Science Foundation (NSF) awards IIS-2030459 and IIS-2033384, US Air Force contract no. FA8702-15-D-0001 and awards from the Harvard Data Science Initiative, Amazon Research, Bayer Early Excellence in Science, AstraZeneca Research and the Roche Alliance with Distinguished Scientists. W.G. was supported by the US Office of Naval Research under grant no. N00014-21-1-2195. C.W.C. was supported by the Machine Learning for Pharmaceutical Discovery and Synthesis (MLPDS) Consortium. J.S. was supported by NSF awards SCH-2014438, IIS-1838042, US National Institutes of Health (NIH) award 1R01NS107291-01, and OSF Healthcare. J.L. was supported by the US Defense Advanced Research Progress Agency under awards HR00112190039, N660011924033; the Army Research Organization under nos. W911NF-16-1-0342, W911NF-16-1-0171; the NSF under nos. OAC-1835598, OAC-1934578, CCF-1918940; the NIH under no. 3U54HG010426-04S1; and the Stanford Data Science Initiative, the Wu Tsai Neurosciences Institute, Amazon, Docomo, GSK, Hitachi, Intel, JPMorgan Chase, Juniper Networks, KDDI, NEC and Toshiba. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funders.",
year = "2022",
month = oct,
doi = "10.1038/s41589-022-01131-2",
language = "English (US)",
volume = "18",
pages = "1033--1036",
journal = "Nature chemical biology",
issn = "1552-4450",
publisher = "Nature Research",
number = "10",
}