Multi-modal molecule structure–text model for text-based retrieval and editing-Reference-Cited by-同舟云学术

Multi-modal molecule structure–text model for text-based retrieval and editing

Published:2023-12-18 Issue:12 Volume:5 Page:1447-1457
ISSN:2522-5839
Container-title:Nature Machine Intelligence
language:en
Short-container-title:Nat Mach Intell

Author:

Liu Shengchao^ORCID,Nie Weili,Wang Chengpeng^ORCID,Lu Jiarui,Qiao Zhuoran,Liu Ling,Tang Jian,Xiao Chaowei,Anandkumar Animashree^ORCID

Funder

Bren Named Chair

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

Link

https://www.nature.com/articles/s42256-023-00759-6.pdf

Reference62 articles.

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2. Patronov, A., Papadopoulos, K. & Engkvist, O. in Artificial Intelligence in Drug Design (ed. Heietz, A.) 153–176 (Springer, 2022).

3. Jayatunga, M. K., Xie, W., Ruder, L., Schulze, U. & Meier, C. AI in small-molecule drug discovery: a coming wave. Nat. Rev. Drug Discov. 21, 175–176 (2022).

4. Jumper, J. et al. Highly accurate protein structure prediction with alphafold. Nature 596, 583–589 (2021).

5. Rohrer, S. G. & Baumann, K. Maximum unbiased validation (MUV) data sets for virtual screening based on PubChem bioactivity data. J. Chem. Inf. Model. 49, 169–184 (2009).

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