ligdream
importedtherapeutics/ligdream
Novel molecules from a reference shape!
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- AGPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- playmolecule
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/playmolecule/ligdream
- Documentation
- unknown
- Tags
- drug-discovery · generative-model · python3
- 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.
- BBARdrug-discovery · generative-model
Official Github for "Molecular generative model via retrosynthetically prepared chemical building block assembly" (Advanced Science)
- FlowMoldrug-discovery · generative-model
Mixed continous/categorical flow-matching model for de novo molecule generation.
- geom-drugs-3dgen-evaluationdrug-discovery · generative-model
A refined evaluation pipeline for 3D molecular generative models trained on GEOM-Drugs.
- gflownetdrug-discovery · generative-model
A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
- Molecule-RNNdrug-discovery · generative-model
A recurrent neural network (RNN) that generates drug-like molecules for drug discovery.
- molgendrug-discovery · generative-model
Lightweight toolkit for de novo molecular generation: SMILES & SELFIES tokenizers, CharRNN / MolGPT / VAE models, training, sampling, and MOSES-style metrics.
- api.github.com/repos/playmolecule/ligdreamretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-01-30, 83 stars, license reported as AGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/26.json→ .entries["ligdream"]
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