Predictive modelling of peroxisome proliferator-activated receptor gamma (PPARγ) IC50 inhibition by emerging pollutants using light gradient boosting machine

Predictive modelling of peroxisome proliferator-activated receptor gamma (PPARγ) IC50 inhibition by emerging pollutants using light gradient boosting machine

<p>Peroxisome proliferator-activated receptor gamma (PPARγ), a critical nuclear receptor, plays a pivotal role in regulating metabolic and inflammatory processes. However, various environmental contaminants can disrupt PPARγ function, leading to adverse health effects. This study introduces a...

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Bibliographic Details
Main Author: A. Awomuti (20926958) (author)
Other Authors: Z. Yu (1274130) (author), O. Adesina (20926961) (author), O.W. Samuel (20926964) (author), A.W. Mumbi (20926967) (author), D. Yin (7750358) (author)
Published: 2025
Subjects:
Biochemistry
Pharmacology
Biotechnology
Mental Health
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
QSAR
LightGBM
inhibition
machine learning
PPARγ
organic pollutants
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