moses
importedtherapeutics/moses
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation 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
- molecularsets
- Country
- unknown
- Homepage
- arxiv.org/abs/1811.12823
- Repository
- github.com/molecularsets/moses
- Documentation
- unknown
- Tags
- benchmark · drug-discovery · generative-models · machine-learning
- 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.
- DrugGENdrug-discovery · generative-models
Official implementation of DrugGEN: Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks
- hydrampdrug-discovery · generative-models
HydrAMP: a deep generative model for antimicrobial peptide discovery
- LiGANdrug-discovery · generative-models
Deep generative models of voxel grids for structure-based drug discovery
- paccmann_rldrug-discovery · generative-models
Code pipeline for the PaccMann^RL in iScience: https://www.cell.com/iscience/fulltext/S2589-0042(21)00237-6
- reinvent-randomizeddrug-discovery · generative-models
Recurrent Neural Network using randomized SMILES strings to generate molecules
- Bentobenchmark · drug-discovery
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
- api.github.com/repos/molecularsets/mosesretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-07-08, 988 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/50.json→ .entries["moses"]
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