DeepReac+: deep active learning for quantitative modeling of organic chemical reactions

Author:

Gong Yukang1,Xue Dongyu1,Chuai Guohui1,Yu Jing1ORCID,Liu Qi1ORCID

Affiliation:

1. Department of Ophthalmology, Shanghai Tenth People's Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200072, China

Abstract

Based on GNNs and active learning, DeepReac+ is designed as a universal framework for quantitative modeling of chemical reactions. It takes molecular structures as inputs directly and adapts to various prediction tasks with fewer training data.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Shanghai

Fundamental Research Funds for the Central Universities

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

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