Journal of Chemical Information and Modeling, volume 63, issue 3, pages 695-701
Chemistry42: An AI-Driven Platform for Molecular Design and Optimization
Yan Ivanenkov
1
,
Dmitry Bezrukov
1
,
Bogdan Zagribelnyy
3
,
Vladimir Aladinskiy
3
,
Petrina Kamya
2
,
Alex Aliper
3
,
Feng Ren
4
,
1
Insilico Medicine Kong Kong Ltd., Unit 310, 3/F, Building 8W, Phase 2, Hong Kong Science Park, Pak Shek Kok, Hong Kong
|
2
Insilico Medicine Canada Inc., 3710-1250 René-Lévesque Blvd W, Montreal, Quebec, H3B 4W8 Canada
|
3
Insilico Medicine AI Limited, Level 6, Unit 08, Block A, IRENA HQ Building, Masdar City, PO Box 145748, Abu Dhabi, UAE
|
4
Insilico Medicine Shanghai Ltd., Suite 901, Tower C, Changtai Plaza, 2889 Jinke Road, Pudong New District, Shanghai 201203, China
|
Publication type: Journal Article
Publication date: 2023-02-02
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 5.6
ISSN: 15499596, 1549960X
General Chemistry
Computer Science Applications
General Chemical Engineering
Library and Information Sciences
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GOST
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Ivanenkov Y. et al. Chemistry42: An AI-Driven Platform for Molecular Design and Optimization // Journal of Chemical Information and Modeling. 2023. Vol. 63. No. 3. pp. 695-701.
GOST all authors (up to 50)
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Ivanenkov Y., Polykovskiy D., Bezrukov D., Zagribelnyy B., Aladinskiy V., Kamya P., Aliper A., Ren F., Zhavoronkov A. Chemistry42: An AI-Driven Platform for Molecular Design and Optimization // Journal of Chemical Information and Modeling. 2023. Vol. 63. No. 3. pp. 695-701.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1021/acs.jcim.2c01191
UR - https://doi.org/10.1021/acs.jcim.2c01191
TI - Chemistry42: An AI-Driven Platform for Molecular Design and Optimization
T2 - Journal of Chemical Information and Modeling
AU - Ivanenkov, Yan
AU - Polykovskiy, Daniil
AU - Bezrukov, Dmitry
AU - Zagribelnyy, Bogdan
AU - Aladinskiy, Vladimir
AU - Kamya, Petrina
AU - Aliper, Alex
AU - Ren, Feng
AU - Zhavoronkov, Alex
PY - 2023
DA - 2023/02/02
PB - American Chemical Society (ACS)
SP - 695-701
IS - 3
VL - 63
SN - 1549-9596
SN - 1549-960X
ER -
Cite this
BibTex
Copy
@article{2023_Ivanenkov,
author = {Yan Ivanenkov and Daniil Polykovskiy and Dmitry Bezrukov and Bogdan Zagribelnyy and Vladimir Aladinskiy and Petrina Kamya and Alex Aliper and Feng Ren and Alex Zhavoronkov},
title = {Chemistry42: An AI-Driven Platform for Molecular Design and Optimization},
journal = {Journal of Chemical Information and Modeling},
year = {2023},
volume = {63},
publisher = {American Chemical Society (ACS)},
month = {feb},
url = {https://doi.org/10.1021/acs.jcim.2c01191},
number = {3},
pages = {695--701},
doi = {10.1021/acs.jcim.2c01191}
}
Cite this
MLA
Copy
Ivanenkov, Yan, et al. “Chemistry42: An AI-Driven Platform for Molecular Design and Optimization.” Journal of Chemical Information and Modeling, vol. 63, no. 3, Feb. 2023, pp. 695-701. https://doi.org/10.1021/acs.jcim.2c01191.