chemicalx
importedtherapeutics/chemicalx
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- AstraZeneca
- Country
- unknown
- Homepage
- chemicalx.readthedocs.io
- Repository
- github.com/AstraZeneca/chemicalx
- Documentation
- unknown
- Tags
- biology · chemistry · deep-chemistry · deep-learning · drug · drug-discovery · drug-interaction · drug-pair
- 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.
- Benchmarking-Single-Cell-Perturbationdrug · drug-discovery
Single-Cell (Perturbation) Model Library
- mt-dtidrug · drug-discovery
An official Molecule Transformer Drug Target Interaction (MT-DTI) model
- n_gram_graphdrug · drug-discovery
N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)
- USearchMoleculesbiology · chemistry · drug-discovery
Large Multi-Modal Chem-Informatics dataset of 7B+ molecules with fingerprints and 3D conformers for drug discovery
- lohi_splitterdrug · drug-discovery
Lo-Hi Splitter for Modern Splits of Molecular Datasets
- bio-forgebiology · chemistry
A high-performance, pure Rust toolkit for standardizing and preparing biomolecular systems (proteins & nucleic acids). It heals missing atoms, resolves protonation states, adds solvation, and…
- api.github.com/repos/AstraZeneca/chemicalxretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-09-11, 783 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/59.json→ .entries["chemicalx"]
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