M3S-GRPred: a novel ensemble learning approach for the interpretable prediction of glucocorticoid receptor antagonists using a multi-step stacking strategy

M3S-GRPred: a novel ensemble learning approach for the interpretable prediction of glucocorticoid receptor antagonists using a multi-step stacking strategy

Abstract Accelerating drug discovery for glucocorticoid receptor (GR)-related disorders, including innovative machine learning (ML)-based approaches, holds promise in advancing therapeutic development, optimizing treatment efficacy, and mitigating adverse effects. While experimental methods can accu...

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Bibliographic Details
Main Authors: Nalini Schaduangrat, Hathaichanok Chuntakaruk, Thanyada Rungrotmongkol, Pakpoom Mookdarsanit, Watshara Shoombuatong
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Bioinformatics
Subjects:
Cushing’s syndrome
Glucocorticoid receptor
QSAR
Cheminformatics
Machine learning
Feature selection
Online Access:https://doi.org/10.1186/s12859-025-06132-1
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https://doi.org/10.1186/s12859-025-06132-1

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