AIMC Topic: Basic Helix-Loop-Helix Transcription Factors

Clear Filters Showing 1 to 6 of 6 articles

Integrating bioinformatics and machine learning to identify AhR-related gene signatures for prognosis and tumor microenvironment modulation in melanoma.

Frontiers in immunology Jan 6, 2025
BACKGROUND: The Aryl Hydrocarbon Receptor (AhR) pathway significantly influences immune cell regulation, impacting the effectiveness of immunotherapy and patient outcomes in melanoma. However, the specific downstream targets and mechanisms by which A...
Databases, Genetic Basic Helix-Loop-Helix Transcription Factors Receptors, Aryl Hydrocarbon Gene Expression Profiling Transcriptome Machine Learning Melanoma Animals Prognosis Skin Neoplasms Gene Expression Regulation, Neoplastic Humans Tumor Microenvironment Lymphocytes, Tumor-Infiltrating Mice Biomarkers, Tumor Computational Biology
View on PubMed DOI

bHLHDB: A next generation database of basic helix loop helix transcription factors based on deep learning model.

Journal of bioinformatics and computational biology Jul 25, 2022
The basic helix loop helix (bHLH) superfamily is a large and diverse protein family that plays a role in various vital functions in nearly all animals and plants. The bHLH proteins form one of the largest families of transcription factors found in pl...
Basic Helix-Loop-Helix Transcription Factors Plants Deep Learning Transcription Factors Amino Acid Sequence Animals Phylogeny
View on PubMed DOI

Reconstruction of ARNT PAS-B Unfolding Pathways by Steered Molecular Dynamics and Artificial Neural Networks.

Journal of chemical theory and computation Mar 29, 2021
Several experimental studies indicated that large conformational changes, including partial domain unfolding, have a role in the functional mechanisms of the basic helix loop helix Per/ARNT/SIM (bHLH-PAS) transcription factors. Recently, single-molec...
Protein Conformation Protein Unfolding Molecular Dynamics Simulation Microscopy, Atomic Force Neural Networks, Computer Basic Helix-Loop-Helix Transcription Factors
View on PubMed DOI

An interpretable bimodal neural network characterizes the sequence and preexisting chromatin predictors of induced transcription factor binding.

Genome biology Jan 7, 2021
BACKGROUND: Transcription factor (TF) binding specificity is determined via a complex interplay between the transcription factor's DNA binding preference and cell type-specific chromatin environments. The chromatin features that correlate with transc...
Humans Neural Networks, Computer Protein Binding Binding Sites Transcription Factors Genome Gene Expression Regulation Basic Helix-Loop-Helix Transcription Factors Chromatin Histones DNA-Binding Proteins
View on PubMed DOI

Identification and validation of inflammatory response genes linking chronic kidney disease with coronary artery disease based on bioinformatics and machine learning.

Scientific reports Jun 1, 2025
Coronary artery disease (CAD) commonly occurs and elevates the risk of cardiovascular events and mortality in chronic kidney disease (CKD) patients. The underlying pathogenesis of CKD-related CAD is believed to be closely linked to inflammatory respo...
Middle Aged Computational Biology Aged Humans Male Basic Helix-Loop-Helix Transcription Factors Inflammation Machine Learning Coronary Artery Disease Biomarkers Renal Insufficiency, Chronic Female
View on PubMed DOI

Interpretable predictive models of genome-wide aryl hydrocarbon receptor-DNA binding reveal tissue-specific binding determinants.

Toxicological sciences : an official journal of the Society of Toxicology Nov 28, 2023
The aryl hydrocarbon receptor (AhR) is an inducible transcription factor whose ligands include the potent environmental contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). Ligand-activated AhR binds to DNA at dioxin response elements (DREs) conta...
Machine Learning Receptors, Aryl Hydrocarbon Humans Basic Helix-Loop-Helix Transcription Factors Genome, Human Organ Specificity
View on PubMed DOI
Popular Topics
Recent Journals