Optimizing chemical reaction conditions using deep learning: a case study for the Suzuki–Miyaura cross-coupling reaction

Author:

Fu Zunyun12345,Li Xutong56789,Wang Zhaohui107894,Li Zhaojun56789,Liu Xiaohong56789,Wu Xiaolong56789,Zhao Jihui56789,Ding Xiaoyu56789,Wan Xiaozhe56789,Zhong Feisheng56789,Wang Dingyan56789,Luo Xiaomin56789,Chen Kaixian12345,Liu Hong107894ORCID,Wang Jiang107894ORCID,Jiang Hualiang56789,Zheng Mingyue56789ORCID

Affiliation:

1. School of Chinese Materia Medica

2. Nanjing University of Chinese Medicine

3. Nanjing 210023

4. China

5. Drug Discovery and Design Center

6. State Key Laboratory of Drug Research

7. Shanghai Institute of Materia Medica

8. Chinese Academy of Sciences

9. Shanghai 201203

10. CAS Key Laboratory of Receptor Research

Abstract

Deep learning was used to optimize chemical reactions with the quantum mechanical properties of chemical contexts and reaction conditions as inputs. The trained deep learning model determines optimal reaction conditions by in silico exploration of accessible reaction space.

Funder

National Natural Science Foundation of China

State Key Laboratory of Pharmaceutical Biotechnology

National Key New Drug Creation and Manufacturing Program, Ministry of Science and Technology

Chinese Academy of Sciences

Publisher

Royal Society of Chemistry (RSC)

Subject

Organic Chemistry

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