αExtractor: a system for automatic extraction of chemical information from biomedical literature-Reference-Cited by-同舟云学术

αExtractor: a system for automatic extraction of chemical information from biomedical literature

Published:2023-09-26 Issue: Volume: Page:
ISSN:1674-7305
Container-title:Science China Life Sciences
language:en
Short-container-title:Sci. China Life Sci.

Author:

Xiong Jiacheng,Liu Xiaohong,Li Zhaojun,Xiao Hongzhong,Wang Guangchao,Niu Zhenjiang,Fei Chaoyuan,Zhong Feisheng,Wang Gang,Zhang Wei,Fu Zunyun,Liu Zhiguo,Chen Kaixian,Jiang Hualiang,Zheng Mingyue

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Biochemistry, Genetics and Molecular Biology

Link

https://link.springer.com/content/pdf/10.1007/s11427-023-2388-x.pdf

Reference10 articles.

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3. Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., and Zagoruyko, S. (2020). End-to-end object detection with transformers. In: European Conference on Computer Vision. Glasgow.

4. Clevert, D.A., Le, T., Winter, R., and Montanari, F. (2021). Img2Mol—accurate SMILES recognition from molecular graphical depictions. Chem Sci 12, 14174–14181.

5. Madani, A., Krause, B., Greene, E.R., Subramanian, S., Mohr, B.P., Holton, J.M., Olmos Jr., J.L., Xiong, C., Sun, Z.Z., Socher, R., et al. (2023). Large language models generate functional protein sequences across diverse families. Nat Biotechnol 41, 1099–1106.

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