Navigating Chemical Space with Latent Flows Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2405.03987
Recent progress of deep generative models in the vision and language domain has stimulated significant interest in more structured data generation such as molecules. However, beyond generating new random molecules, efficient exploration and a comprehensive understanding of the vast chemical space are of great importance to molecular science and applications in drug design and materials discovery. In this paper, we propose a new framework, ChemFlow, to traverse chemical space through navigating the latent space learned by molecule generative models through flows. We introduce a dynamical system perspective that formulates the problem as learning a vector field that transports the mass of the molecular distribution to the region with desired molecular properties or structure diversity. Under this framework, we unify previous approaches on molecule latent space traversal and optimization and propose alternative competing methods incorporating different physical priors. We validate the efficacy of ChemFlow on molecule manipulation and single- and multi-objective molecule optimization tasks under both supervised and unsupervised molecular discovery settings. Codes and demos are publicly available on GitHub at https://github.com/garywei944/ChemFlow.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2405.03987
- https://arxiv.org/pdf/2405.03987
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396813982
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4396813982Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2405.03987Digital Object Identifier
- Title
-
Navigating Chemical Space with Latent FlowsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-05-07Full publication date if available
- Authors
-
Guanghao Wei, Yining Huang, Chenru Duan, Yue Song, Yuanqi DuList of authors in order
- Landing page
-
https://arxiv.org/abs/2405.03987Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2405.03987Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2405.03987Direct OA link when available
- Concepts
-
Space (punctuation), Chemical space, Computer science, Chemistry, Drug discovery, Operating system, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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