Redefining druggable targets with artificial intelligence
Nat Biotechnol
.
2025 Sep;43(9):1416-1418.
doi: 10.1038/s41587-025-02770-1.
Authors
Karen Akinsanya
1
,
Mohammed AlQuraishi
2
,
Ann Boija
3
,
John Chodera
4
,
Anna Cichońska
5
,
Marzyeh Ghassemi
6
,
Martha Head
7
,
Wengong Jin
8
,
Warren A Kibbe
9
,
Nevan Krogan
10
,
Michael V LeVine
11
,
John Moult
12
,
Lynda Stuart
13
,
Georgia Tourassi
14
,
James Zou
15
,
Regina Barzilay
16
,
Olivier Elemento
17
Affiliations
1
Schrödinger, New York, NY, USA.
2
Department of Systems Biology, Columbia University, New York, NY, USA.
3
Dewpoint Therapeutics, Boston, MA, USA.
4
Memorial Sloan Kettering Cancer Center, New York, NY, USA.
5
Harmonic Discovery, New York, NY, USA.
6
Massachusetts Institute of Technology, Cambridge, MA, USA.
7
Amgen, Cambridge, MA, USA.
8
Khoury College of Computer Science, Northeastern University, Boston, MA, USA.
9
National Cancer Institute, Bethesda, MD, USA.
10
University of California San Francisco, San Francisco, CA, USA.
11
Genesis Therapeutics, Burlington, CA, USA.
12
University of Maryland, College Park, MD, USA.
13
Institute for Protein Design, Seattle, WA, USA.
14
Oak Ridge National Laboratory, Oak Ridge, TN, USA.
15
Stanford University, Stanford, CA, USA.
16
Massachusetts Institute of Technology, Cambridge, MA, USA. regina@csail.mit.edu.
17
Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA. ole2001@med.cornell.edu.
PMID:
40830262
DOI:
10.1038/s41587-025-02770-1
No abstract available