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
- jungle-of-generative-drug-discoveryde-novo-drug-design · drug-discovery
The official codebase of the paper "The Jungle of Generative Drug Discovery: Traps, Treasures, and Ways Out""
- metisde-novo-drug-design · drug-discovery
Python-based GUI to collect Feedback of Chemist in Molecules
- Molecule-RNNde-novo-drug-design · drug-discovery
A recurrent neural network (RNN) that generates drug-like molecules for drug discovery.
- paccmann_sarscov2de-novo-drug-design · drug-discovery
Code for paper on automation of discovery and synthesis of targeted molecules: https://iopscience.iop.org/article/10.1088/2632-2153/abe808
- 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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