Published February 3, 2026
| Version v1
Model
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CYP-SENSE: Hybrid q-RASAR Predictive Model and Curated Dataset for CYP3A4 Inhibition
Description
This record provides the champion LightGBM (LGBM) model and curated training data for predicting CYP3A4 inhibition (pIC50). The model utilizes a Hybrid q-RASAR approach, incorporating 30 physicochemical descriptors and 3 structural similarity motifs (Sim_max, Sim_avg, and Act_neighbor). The ZIP archive includes the curated 4,232-compound CSV, the serialized .joblib model, and detailed performance/reliability logs.
Files
CYP-SENSE_v1.0_Project_Archive.zip
Files
(1.5 MB)
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md5:8864768d5d4a46bd19caeee9240211a2
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