s4-for-de-novo-drug-design
importedtherapeutics/s4-for-de-novo-drug-design
The official codebase of the paper "Chemical language modeling with structured state space sequence models"
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- molML
- Country
- unknown
- Documentation
- unknown
- Tags
- chemical-language-models · cheminformatics · chemistry · de-novo-drug-design · deep-learning · s4 · smiles-strings · state-space-models
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- PCMolchemical-language-models · cheminformatics · de-novo-drug-design
Multi-target de novo molecular generator conditioned on AlphaFold's latent protein embeddings.
- get-chemical-smiles-by-cas-or-namecheminformatics · chemistry · smiles-strings
Get chemical SMILES strings (structures) based on the CAS numbers or the names of the chemicals.
- pysmilescheminformatics · smiles-strings
A lightweight python-only library for reading and writing SMILES strings
- DrugExcheminformatics · de-novo-drug-design
De Novo Drug Design with RNNs and Transformers
- odysseystate-space-models
A toolkit for developing foundation models using Electronic Health Record (EHR) data.
- Deep-Drug-Codersmiles-strings
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
- api.github.com/repos/molML/s4-for-de-novo-drug-designretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-08-01, 90 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/9.json→ .entries["s4-for-de-novo-drug-design"]
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