Work

Artificial intelligence foundation for therapeutic science

Year: 2022

Type: article

Source: Nature Chemical Biology

DOI: 10.1038/s41589-022-01131-2

Authors: Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik

Institutions: Harvard University, Stanford University, Georgia Institute of Technology, Massachusetts Institute of Technology, Carnegie Mellon University, Stanford Medicine, IQVIA (United States), University of Illinois Urbana-Champaign, Broad Institute

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Human Genome Research Institute, National Institute of Neurological Disorders and Stroke

Awards: G122882294, G4479388517

OpenAlex ID: W4296551289

FWCI: 19.8

Cites: 25

Cited by: 199

Related to: 10