MMSSC-Net: multi-stage sequence cognitive networks for drug molecule recognition

Author:

Zhang Dehai1ORCID,Zhao Di1,Wang Zhengwu1,Li Junhui1,Li Jin1

Affiliation:

1. The Key Laboratory of Software Engineering of Yunnan Province, School of Software, Yunnan University, Kunming, China

Abstract

In the growing body of scientific literature, the structure and information of drugs are usually represented in two-dimensional vector graphics.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Yunnan Province

Publisher

Royal Society of Chemistry (RSC)

Reference39 articles.

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4. Building attention and edge message passing neural networks for bioactivity and physical–chemical property prediction

5. Z.Liu , H.Hu , Y.Lin , Z.Yao , Z.Xie , Y.Wei , J.Ning , Y.Cao , Z.Zhang , L.Dong , et al., Swin transformer v2: Scaling up capacity and resolution , Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , 2022 , pp. 12009–12019

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