AIMC Topic: Estrogen Receptor alpha

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Enhancing ERα-targeted compound efficacy in breast cancer threapy with ExplainableAI and GeneticAlgorithm.

PloS one May 20, 2025
Breast cancer remains a major cause of mortality among women globally, driving the need for advanced therapeutic solutions. This study presents a novel, comprehensive methodology integrating explainable artificial intelligence (AI), machine learning ...
Algorithms Female Breast Neoplasms Antineoplastic Agents Estrogen Receptor alpha Humans Artificial Intelligence Machine Learning
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Screening of estrogen receptor activity of per- and polyfluoroalkyl substances based on deep learning and in vivo assessment.

Environmental pollution (Barking, Essex : 1987) Feb 11, 2025
Over the past decades, exposure to per- and polyfluoroalkyl substances (PFAS), a group of synthetic chemicals notorious for their environmental persistence, has been shown to pose increased health risks. Despite that some PFAS were reported to have e...
Zebrafish Fluorocarbons Endocrine Disruptors Receptors, Estrogen Humans Animals Deep Learning Environmental Pollutants Estrogen Receptor alpha
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MATH: A Deep Learning Approach in QSAR for Estrogen Receptor Alpha Inhibitors.

Molecules (Basel, Switzerland) Aug 3, 2023
Breast cancer ranks as the second leading cause of death among women, but early screening and self-awareness can help prevent it. Hormone therapy drugs that target estrogen levels offer potential treatments. However, conventional drug discovery entai...
Humans Female Breast Neoplasms Deep Learning Estrogens Estrogen Antagonists Quantitative Structure-Activity Relationship Estrogen Receptor alpha
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Machine Learning on DNA-Encoded Libraries: A New Paradigm for Hit Finding.

Journal of medicinal chemistry Jun 11, 2020
DNA-encoded small molecule libraries (DELs) have enabled discovery of novel inhibitors for many distinct protein targets of therapeutic value. We demonstrate a new approach applying machine learning to DEL selection data by identifying active molecul...
Neural Networks, Computer Small Molecule Libraries Drug Discovery Proto-Oncogene Proteins c-kit DNA Estrogen Receptor alpha Ligands Epoxide Hydrolases Protein Kinase Inhibitors
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Analysis of the Deleterious Single Nucleotide Polymorphisms Impact on Estrogen Receptor Alpha-p53 Interaction: A Machine Learning Approach.

International journal of molecular sciences Jun 18, 2019
Breast cancer is a leading cancer type and one of the major health issues faced by women around the world. Some of its major risk factors include body mass index, hormone replacement therapy, family history and germline mutations. Of these risk facto...
Molecular Docking Simulation Protein Binding Polymorphism, Single Nucleotide Computational Biology Humans Neural Networks, Computer Machine Learning Protein Conformation Estrogen Receptor alpha Protein Interaction Domains and Motifs Structure-Activity Relationship Mutation Molecular Dynamics Simulation Tumor Suppressor Protein p53
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Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls.

Scientific reports Sep 3, 2018
We propose an effective machine learning approach to identify group of interacting single nucleotide polymorphisms (SNPs), which contribute most to the breast cancer (BC) risk by assuming dependencies among BCAC iCOGS SNPs. We adopt a gradient tree b...
Estrogen Receptor alpha Gene Expression Regulation, Neoplastic Support Vector Machine Base Sequence Genome, Human Risk Ubiquitin-Protein Ligases Finland Protein Interaction Mapping Genome-Wide Association Study Gene Regulatory Networks Genetic Predisposition to Disease Polymorphism, Single Nucleotide Prognosis Female Breast Neoplasms Case-Control Studies Humans
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Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score.

Journal of magnetic resonance imaging : JMRI Aug 21, 2018
BACKGROUND: Oncotype Dx is a validated genetic analysis that provides a recurrence score (RS) to quantitatively predict outcomes in patients who meet the criteria of estrogen receptor positive / human epidermal growth factor receptor-2 negative (ER+/...
Humans Neural Networks, Computer Algorithms Retrospective Studies Treatment Outcome Female Middle Aged Receptor, ErbB-2 Magnetic Resonance Imaging ROC Curve Area Under Curve Reproducibility of Results Carcinoma, Ductal, Breast Imaging, Three-Dimensional Neoplasm Recurrence, Local Aged Image Processing, Computer-Assisted Estrogen Receptor alpha Adult Breast Neoplasms
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Insight Analysis of Promiscuous Estrogen Receptor α-Ligand Binding by a Novel Machine Learning Scheme.

Chemical research in toxicology Jul 30, 2018
Estrogen receptor α (ERα) plays a significant role in occurrence of breast cancer and may cause various adverse side-effects when ERα is an off-target protein. A theoretical model was derived to predict the binding affinity of ERα using the pharmacop...
Crystallography, X-Ray Protein Conformation Estrogen Receptor alpha Support Vector Machine Models, Molecular Ligands Quantitative Structure-Activity Relationship Machine Learning Computer Simulation Reproducibility of Results Protein Binding Humans
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Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study.

Journal of magnetic resonance imaging : JMRI Oct 16, 2017
BACKGROUND: Diffusion-weighted MRI (DWI) is currently one of the fastest developing MRI-based techniques in oncology. Histogram properties from model fitting of DWI are useful features for differentiation of lesions, and classification can potentiall...
Middle Aged Estrogen Receptor alpha Reproducibility of Results Image Processing, Computer-Assisted Machine Learning Aged Diffusion Humans Support Vector Machine Algorithms Diffusion Magnetic Resonance Imaging Breast Adult Motion Prospective Studies Echo-Planar Imaging Breast Neoplasms Image Interpretation, Computer-Assisted Female Receptor, ErbB-2
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Endometrial tumorigenesis involves epigenetic plasticity demarcating non-coding somatic mutations and 3D-genome alterations.

Genome biology May 9, 2025
BACKGROUND: The incidence and mortality of endometrial cancer (EC) is on the rise. Eighty-five percent of ECs depend on estrogen receptor alpha (ERα) for proliferation, but little is known about its transcriptional regulation in these tumors.
Endometrial Neoplasms Estrogen Receptor alpha Enhancer Elements, Genetic Gene Expression Regulation, Neoplastic Humans Carcinogenesis Female Mutation Polymorphism, Single Nucleotide Genome, Human Epigenesis, Genetic
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