Published April 29, 2024
| Version v1
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Supporting material for "Chemical Language Modeling with Structured State Spaces"
Description
Supporting material of the paper:
Özçelik R et al. 2024 "Chemical Language Modeling with Structured State Spaces." ChemRxiv (2024).
This folder contains model weights, generated molecules, and computed log-likelihoods to allow reproducing our results.
The corresponding code can be found on GitHub.
Files
S4_deliverables.zip
Files
(831.6 MB)
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Additional details
Related works
- Is metadata for
- Publication: 10.26434/chemrxiv-2023-jwmf3-v2 (DOI)
Funding
- ReMINDER 101077879
- European Research Council
Software
- Repository URL
- https://github.com/molML/s4-for-de-novo-drug-design
- Programming language
- Python
- Development Status
- Active