Graph-based Molecular Generation
Graph-Based Molecular Generation is a computational method in de novo drug design that constructs molecular structures as graphs by iteratively adding atoms and bonds according to learned chemical constraints and structural patterns.
96
Publications
6.5K
Citations
324
Authors
131
Institutions
Publications per year
2017–2026
81
Parents
96
Deep Generative Models for 3D Linker Design
Fergus Imrie, A.R. Bradley, Mihaela van der Schaar et al. · Journal of Chemical Information and Modeling · 2020 · 268 citations · Full text
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You, Bowen Liu, Rex Ying et al. · arXiv (Cornell University) · 2018 · 246 citations · Full text
1–5 of 96
324
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6
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Guangzhou Regenerative Medicine and Health Guangdong Laboratory, China
5 publications · 257 citations
5
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1–5 of 324
131
Chalmers University of Technology
Gothenburg, Sweden
7 h-index
17 publications
970 citations
Guangzhou Regenerative Medicine and Health Guangdong Laboratory
Guangzhou, China
6 h-index
6 publications
716 citations
AstraZeneca (Sweden)
Södertälje, Sweden
5 h-index
24 publications
4.5K citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
8 publications
520 citations

Johannes Kepler University of Linz
Linz, Austria
5 h-index
8 publications
339 citations
AstraZeneca (Brazil)
São Paulo, Brazil
4 h-index
16 publications
422 citations

Peking University
Beijing, China
3 h-index
7 publications
1.9K citations
Institute of Bioinformatics
Bengaluru, India
3 h-index
6 publications
164 citations
1–8 of 131
Repository · 31 publications · 2.4K citations
21
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10 publications · 892 citations
10
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JCIM · 10 publications · 1.1K citations
9
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Repository · 7 publications · 134 citations
7
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3 publications · 312 citations
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