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s4-for-de-novo-drug-design

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therapeutics/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.

record
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
built by · 2

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.

similar by tags

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.

sources
  1. api.github.com/repos/molML/s4-for-de-novo-drug-design
    retrieved 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 →

machine-readable

/v1/entries/9.json→ .entries["s4-for-de-novo-drug-design"]

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