| Original language | English |
|---|---|
| Pages (from-to) | 189-191 |
| Number of pages | 3 |
| Journal | Nature Machine Intelligence |
| Volume | 4 |
| Issue number | 3 |
| DOIs |
|
| Publication status | Published - Mar 2022 |
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In: Nature Machine Intelligence, Vol. 4, No. 3, 03.2022, p. 189-191.
Research output: Contribution to journal › Comment/debate › peer-review
TY - JOUR
T1 - Dual use of artificial-intelligence-powered drug discovery
AU - Urbina, Fabio
AU - Lentzos, Filippa
AU - Invernizzi, Cédric
AU - Ekins, Sean
N1 - Funding Information: We are grateful to the organizers and participants of the Spiez Convergence conference 2021 for their feedback and questions. C.I. contributed to this article in his personal capacity. The views expressed in this article are those of the authors only and do not necessarily represent the position or opinion of Spiez Laboratory or the Swiss Government. We kindly acknowledge US National Institutes of Health funding under grant R44GM122196-02A1 from the National Institute of General Medical Sciences and 1R43ES031038-01 and 1R43ES033855-01 from the National Institute of Environmental Health Sciences for our machine learning software development and applications. Research reported in this publication was supported by the National Institute of Environmental Health Sciences of the National Institutes of Health under grants R43ES031038 and 1R43ES033855-01. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Funding Information: We are grateful to the organizers and participants of the Spiez Convergence conference 2021 for their feedback and questions. C.I. contributed to this article in his personal capacity. The views expressed in this article are those of the authors only and do not necessarily represent the position or opinion of Spiez Laboratory or the Swiss Government. We kindly acknowledge US National Institutes of Health funding under grant R44GM122196-02A1 from the National Institute of General Medical Sciences and 1R43ES031038-01 and 1R43ES033855-01 from the National Institute of Environmental Health Sciences for our machine learning software development and applications. Research reported in this publication was supported by the National Institute of Environmental Health Sciences of the National Institutes of Health under grants R43ES031038 and 1R43ES033855-01. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
PY - 2022/3
Y1 - 2022/3
UR - http://www.scopus.com/inward/record.url?scp=85125704746&partnerID=8YFLogxK
U2 - 10.1038/s42256-022-00465-9
DO - 10.1038/s42256-022-00465-9
M3 - Comment/debate
AN - SCOPUS:85125704746
SN - 2522-5839
VL - 4
SP - 189
EP - 191
JO - Nature Machine Intelligence
JF - Nature Machine Intelligence
IS - 3
ER -