Advances and challenges in deep generative models for de novo molecule generation-Reference-Cited by-同舟云学术

Advances and challenges in deep generative models for de novo molecule generation

Author:

Xue Dongyu¹²,Gong Yukang³⁴,Yang Zhaoyi⁵,Chuai Guohui¹²,Qu Sheng¹²,Shen Aizong⁵,Yu Jing³⁴,Liu Qi¹²⁴

Affiliation:

1. Department of Endocrinology & Metabolism Shanghai Tenth People's Hospital Shanghai China

2. Bioinformatics Department, School of Life Sciences and Technology Tongji University Shanghai China

3. Department of Ophthalmology, Shanghai Tenth People's Hospital Tongji University Shanghai China

4. Department of Ophthalmology Ninghai First Hospital Zhejiang China

5. Department of Pharmacy The First Affiliated Hospital of University of Science and Technology of China Hefei China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Materials Chemistry,Computational Mathematics,Physical and Theoretical Chemistry,Computer Science Applications,Biochemistry

Link

Reference49 articles.

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