Models

Dataset Information

Gonzalez2021 - QSAR Prediction Model for CYP2C9 Inhibitor and Substrate


ABSTRACT: Analysis of metabolic stability, determining the inhibition of CYP2C9 activity and whether the compounds are a substrate for the CYP2C9 enzyme. The data used to build these models has been publicly available at PubChem (AID1645842) by ADME@NCATS. Model Type: Predictive machine learning model. Model Relevance: The model predicts a chemical compound as an inihibitor and substrate of the CYP2C9 enzymes Model Encoded by: Zakia Yahya (Ersilia) Metadata Submitted in BioModels by: Zainab Ashimiyu-Abdusalam Implementation of this model code by Ersilia is available here: https://github.com/ersilia-os/eos5jz9

SUBMITTER: Zainab Ashimiyu-Abdusalam  

PROVIDER: MODEL2404160002 | BioModels | 2024-04-16

REPOSITORIES: BioModels

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