Molecular Generation is a generative modeling task that involves the algorithmic creation of molecular structures, distinguished by its focus on synthesizing novel, valid, and optimized chemical compounds through computational methods.
214
Publications
15.6K
Citations
784
Authors
286
Institutions
Publications per year
2017–2026
194
Variants
Generative Molecular Design
Parents
Publications
214
Molecular de-novo design through deep reinforcement learning
Marcus Olivecrona, Thomas Blaschke, Ola Engkvist et al. · Journal of Cheminformatics · 2017 · 1.4K citations · Full text
1–5 of 214
Authors
784
- OE
14
h-index
- TH
10
h-index
- HC
10
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- CH
9
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- KT
9
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1–5 of 784
Institutions
286
AstraZeneca (Sweden)
Södertälje, Sweden
12 h-index
62 publications
17.3K citations
The University of Tokyo
Tokyo, Japan
10 h-index
26 publications
2K citations
Zhejiang University
Hangzhou, China
10 h-index
89 publications
5.5K citations
University of Cambridge
Cambridge, United Kingdom
9 h-index
16 publications
1.6K citations
RIKEN Center for Advanced Intelligence Project
Tokyo, Japan
8 h-index
23 publications
1.7K citations
National Institute for Materials Science
Tsukuba, Japan
8 h-index
21 publications
1.4K citations
Chalmers University of Technology
Gothenburg, Sweden
7 h-index
17 publications
1.5K citations
Yokohama City University
Yokohama, Japan
6 h-index
8 publications
249 citations
1–8 of 286
Venues
- arXiv (Cornell University)
Repository · 38 publications · 2.2K citations
24
h-index
- Journal of Chemical Information and Modeling
JCIM · 31 publications · 3K citations
22
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- Journal of Cheminformatics
23 publications · 3.8K citations
20
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- ChemRxiv
Repository · 15 publications · 683 citations
11
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- Briefings in Bioinformatics
7 publications · 261 citations
6
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