openmedical/registry
← registry

DrugEx

imported

therapeutics/drugex

De Novo Drug Design with RNNs and Transformers

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
CDDLeiden
Country
unknown
Documentation
unknown
Tags
cheminformatics · de-novo-drug-design · deep-learning · drug-discovery · reinforcement-learning
Regulatory
unknown
built by · 6

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.

  • PCMolcheminformatics · de-novo-drug-design · drug-discovery

    Multi-target de novo molecular generator conditioned on AlphaFold's latent protein embeddings.

  • ReLeaSEcheminformatics · drug-discovery · reinforcement-learning

    Deep Reinforcement Learning for de-novo Drug Design

  • dock6de-novo-drug-design · drug-discovery

    DOCK6 is a molecular docking program.

  • metisde-novo-drug-design · drug-discovery

    Python-based GUI to collect Feedback of Chemist in Molecules

  • paccmann_rlde-novo-drug-design · drug-discovery

    Code pipeline for the PaccMann^RL in iScience: https://www.cell.com/iscience/fulltext/S2589-0042(21)00237-6

  • s4-for-de-novo-drug-designcheminformatics · de-novo-drug-design

    The official codebase of the paper "Chemical language modeling with structured state space sequence models"

sources
  1. api.github.com/repos/CDDLeiden/DrugEx
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-02-19, 184 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/50.json→ .entries["drugex"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.