AIMC Topic: Receptors, Glucocorticoid

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Identification and validation of glucocorticoid receptor and programmed cell death-related genes in spinal cord injury using machine learning.

Scientific reports Jul 7, 2025
Spinal cord injury (SCI) is a severe neurological disorder, with glucocorticoids like methylprednisolone commonly used for treatment. However, their efficacy and risks remain controversial. Programmed cell death (PCD) mechanisms have been increasingl...
Gene Regulatory Networks Databases, Genetic Protein Interaction Maps Spinal Cord Injuries Receptors, Glucocorticoid Gene Expression Regulation Apoptosis Machine Learning Gene Expression Profiling Glucocorticoids Humans
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BGATT-GR: accurate identification of glucocorticoid receptor antagonists based on data augmentation combined with BiGRU-attention.

Scientific reports Jul 1, 2025
The glucocorticoid receptor (GR) is a critical nuclear receptor that regulates a broad spectrum of physiological functions, including stress adaptation, immune response, and metabolism. Given the association between aberrant GR signaling and various ...
Humans Drug Discovery Receptors, Glucocorticoid Deep Learning
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M3S-GRPred: a novel ensemble learning approach for the interpretable prediction of glucocorticoid receptor antagonists using a multi-step stacking strategy.

BMC bioinformatics Apr 30, 2025
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 eff...
Drug Discovery Computational Biology Algorithms Receptors, Glucocorticoid Ensemble Learning Machine Learning Humans
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Development of in silico classification models for binding affinity to the glucocorticoid receptor.

Chemosphere Jun 8, 2023
The endocrine disrupting properties of chemicals acting through the glucocorticoid receptor (GR) have attracted considerable interest. Since there are few data for most chemicals on their endocrine properties in silico approaches seem to be the most ...
Receptors, Glucocorticoid Neural Networks, Computer Endocrine System
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Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD.

Translational psychiatry Mar 21, 2017
To date, studies of biological risk factors have revealed inconsistent relationships with subsequent post-traumatic stress disorder (PTSD). The inconsistent signal may reflect the use of data analytic tools that are ill equipped for modeling the comp...
Receptors, Glucocorticoid Norepinephrine Risk Assessment Urine Stress Disorders, Post-Traumatic Heart Rate Saliva Area Under Curve Linear Models Male Hydrocortisone Adrenocorticotropic Hormone Blood Pressure Emergency Service, Hospital Psychological Trauma Lymphocytes Support Vector Machine Female Machine Learning Humans Wounds and Injuries Adult ROC Curve Longitudinal Studies Algorithms Young Adult
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