MoleculeNet
The original molecular-machine-learning benchmark of 17 dataset collections and more than 800 prediction endpoints spanning quantum, physicochemical, biophysical, and physiological properties.
Scientific task · Property and function prediction
Predict absorption
ADMET与毒性预测
admet-toxicity-predictionCoverage
The original molecular-machine-learning benchmark of 17 dataset collections and more than 800 prediction endpoints spanning quantum, physicochemical, biophysical, and physiological properties.
Each row keeps its original unit and basis. Rows with different units or overlapping mappings are never added.
| Benchmark | Mapped task | Coverage | Count | Version | Evidence |
|---|---|---|---|---|---|
| MoleculeNet root: moleculenet | ADMET and toxicity prediction official-taxonomy · high | explicitly-in-scope | 5 other Original paper dataset collections. | original-2017 | moleculenet-paper-definition-evidence |
Runs are included only for benchmark records mapped here (and formal child tracks when a mapped suite is the root). A task mapping does not imply that every run isolates this task.
| Work | Provider / class | Related runs |
|---|---|---|
| MoleculeNet: a benchmark for molecular machine learning | Stanford University, DeepChem benchmark_creator | moleculenet-creator-full |