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Gonzalez2021 - QSAR Prediction Model for CYP450 enzymes Inhibitor and Substrate


ABSTRACT:

Analysis of metabolic stability, determining the inhibition of CYP450 activity and whether the compounds are a substrate for the CYP450 enzymes. The data used to build these models is publicly available at PubChem (AID1645840, AID1645841, AID1645842). The tested cyps include CYP2C9, CYP2D6 and CYP3A4.

Model Type: Predictive machine learning model.
Model Relevance: The model predicts a chemical compound as an inihibitor and substrate of the CYP450 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/eos44zp

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ORGANISM(S): Homo sapiens

SUBMITTER: Zainab Ashimiyu-Abdusalam 

PROVIDER: MODEL2404160004 | biostudies-other |

SECONDARY ACCESSION(S): 34183376

REPOSITORIES: biostudies-other

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Publications

Development of Robust Quantitative Structure-Activity Relationship Models for CYP2C9, CYP2D6, and CYP3A4 Catalysis and Inhibition.

Gonzalez Eric E   Jain Sankalp S   Shah Pranav P   Torimoto-Katori Nao N   Zakharov Alexey A   Nguyễn Ðắc-Trung ÐT   Sakamuru Srilatha S   Huang Ruili R   Xia Menghang M   Obach R Scott RS   Hop Cornelis E C A CECA   Simeonov Anton A   Xu Xin X  

Drug metabolism and disposition: the biological fate of chemicals 20210628 9


Cytochrome P450 enzymes are responsible for the metabolism of >75% of marketed drugs, making it essential to identify the contributions of individual cytochromes P450 to the total clearance of a new candidate drug. Overreliance on one cytochrome P450 for clearance levies a high risk of drug-drug interactions; and considering that several human cytochrome P450 enzymes are polymorphic, it can also lead to highly variable pharmacokinetics in the clinic. Thus, it would be advantageous to understand  ...[more]

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