paccmann_rl
importedtherapeutics/paccmann-rl
Code pipeline for the PaccMann^RL in iScience: https://www.cell.com/iscience/fulltext/S2589-0042(21)00237-6
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
- PaccMann
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/PaccMann/paccmann_rl
- Documentation
- unknown
- Tags
- de-novo-drug-design · deep-learning · drug-discovery · drug-sensitivity · generative-models · transcriptomics
- 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.
- dock6de-novo-drug-design · drug-discovery
DOCK6 is a molecular docking program.
- DrugExde-novo-drug-design · drug-discovery
De Novo Drug Design with RNNs and Transformers
- metisde-novo-drug-design · drug-discovery
Python-based GUI to collect Feedback of Chemist in Molecules
- PCMolde-novo-drug-design · drug-discovery
Multi-target de novo molecular generator conditioned on AlphaFold's latent protein embeddings.
- 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
- api.github.com/repos/PaccMann/paccmann_rlretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-02-10, 34 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 →
/v1/entries/15.json→ .entries["paccmann-rl"]
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