aizynthfinder
importedtherapeutics/aizynthfinder
A tool for retrosynthetic planning
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- MolecularAI
- Country
- unknown
- Repository
- github.com/MolecularAI/aizynthfinder
- Documentation
- unknown
- Tags
- astrazeneca · chemical-reactions · cheminformatics · monte-carlo-tree-search · neural-networks · reaction-informatics
- 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.
- SynPlannerchemical-reactions · cheminformatics · monte-carlo-tree-search
Computer-aided synthesis planning
- atom-bond-featurizerastrazeneca · cheminformatics
A Python package for the calculation of features and descriptors for atoms and bonds in molecules.
- REINVENT4astrazeneca · cheminformatics
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
- chemcanvaschemical-reactions · cheminformatics
User-friendly 2D chemical structure drawing tool
- pySiRCchemical-reactions · cheminformatics
Simple web application for prediction of reaction rate constant through machine learning models using molecular fingerprints.
- Rxn-INSIGHTchemical-reactions · cheminformatics
Deterministic classification, naming, and analysis of chemical reactions
- api.github.com/repos/MolecularAI/aizynthfinderretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-04-13, 874 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/16.json→ .entries["aizynthfinder"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.