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Estrogen Receptor alpha

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Endometrial tumorigenesis involves epigenetic plasticity demarcating non-coding somatic mutations and 3D-genome alterations.

Genome biology 40346709
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.
Carcinogenesis Endometrial Neoplasms Enhancer Elements, Genetic Epigenesis, Genetic Estrogen Receptor alpha Female Gene Expression Regulation, Neoplastic Genome, Human Humans Mutation Polymorphism, Single Nucleotide
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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 29044896
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...
Adult Aged Algorithms Breast Breast Neoplasms Diffusion Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Estrogen Receptor alpha Female Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Machine Learning Middle Aged Motion Prospective Studies Receptor, ErbB-2 Reproducibility of Results Support Vector Machine
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Insight Analysis of Promiscuous Estrogen Receptor α-Ligand Binding by a Novel Machine Learning Scheme.

Chemical research in toxicology 30019586
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...
Computer Simulation Crystallography, X-Ray Estrogen Receptor alpha Humans Ligands Machine Learning Models, Molecular Protein Binding Protein Conformation Quantitative Structure-Activity Relationship Reproducibility of Results Support Vector Machine
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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 30129697
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+/...
Adult Aged Algorithms Area Under Curve Breast Neoplasms Carcinoma, Ductal, Breast Estrogen Receptor alpha Female Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional Magnetic Resonance Imaging Middle Aged Neoplasm Recurrence, Local Neural Networks, Computer Receptor, ErbB-2 Reproducibility of Results Retrospective Studies ROC Curve Treatment Outcome
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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 30177847
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...
Base Sequence Breast Neoplasms Case-Control Studies Estrogen Receptor alpha Female Finland Gene Expression Regulation, Neoplastic Gene Regulatory Networks Genetic Predisposition to Disease Genome-Wide Association Study Genome, Human Humans Polymorphism, Single Nucleotide Prognosis Protein Interaction Mapping Risk Support Vector Machine Ubiquitin-Protein Ligases
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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 31216622
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...
Computational Biology Estrogen Receptor alpha Humans Machine Learning Molecular Docking Simulation Molecular Dynamics Simulation Mutation Neural Networks, Computer Polymorphism, Single Nucleotide Protein Binding Protein Conformation Protein Interaction Domains and Motifs Structure-Activity Relationship Tumor Suppressor Protein p53
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Machine Learning on DNA-Encoded Libraries: A New Paradigm for Hit Finding.

Journal of medicinal chemistry 32525674
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...
DNA Drug Discovery Epoxide Hydrolases Estrogen Receptor alpha Ligands Neural Networks, Computer Protein Kinase Inhibitors Proto-Oncogene Proteins c-kit Small Molecule Libraries
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MATH: A Deep Learning Approach in QSAR for Estrogen Receptor Alpha Inhibitors.

Molecules (Basel, Switzerland) 37570812
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...
Breast Neoplasms Deep Learning Estrogen Antagonists Estrogen Receptor alpha Estrogens Female Humans Quantitative Structure-Activity Relationship
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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) 39947576
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...
Animals Deep Learning Endocrine Disruptors Environmental Pollutants Estrogen Receptor alpha Fluorocarbons Humans Receptors, Estrogen Zebrafish
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