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DrugEx

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therapeutics/drugex-xuhanliu

Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology

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

DrugEx project image
GitHub preview card for XuhanLiu/DrugEx. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cheminformatics · deep-learning · graph-transformer · multi-objective-optimization · reinforcement-learning
Regulatory
unknown
built by · 1

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.

  • Rxitectmulti-objective-optimization · reinforcement-learning

    A collection of deep reinforcement learning-based & GFlowNet drug molecule generators focused on generation of molecules using Graphs/SELFIES guided by modern retrosynthesis tools to increase…

  • DrugExcheminformatics · reinforcement-learning

    De Novo Drug Design with RNNs and Transformers

  • ReLeaSEcheminformatics · reinforcement-learning

    Deep Reinforcement Learning for de-novo Drug Design

  • AAVGenreinforcement-learning

    Protein Language model for AAV capsid generation.

  • drug-gymreinforcement-learning

    Reinforcement learning environments for drug discovery

  • DrugGenreinforcement-learning

    DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback

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

    Machine-imported from GitHub search. Last push 2023-07-06, 221 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["drugex-xuhanliu"]

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