AIMC Topic: Histone Demethylases

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Deciphering dysregulation and CpG methylation in hepatocellular carcinoma using multi-omics and machine learning.

Epigenomics Jul 29, 2024
This study investigates the altered expression and CpG methylation patterns of histone demethylase in hepatocellular carcinoma (HCC), aiming to uncover insights and promising diagnostics biomarkers. Leveraging TCGA-LIHC multi-omics data, we employe...
Humans Machine Learning Biomarkers, Tumor Liver Neoplasms Carcinoma, Hepatocellular Gene Regulatory Networks Multiomics Gene Expression Regulation, Neoplastic DNA Methylation CpG Islands Histone Demethylases
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Next generation phenotyping for diagnosis and phenotype-genotype correlations in Kabuki syndrome.

Scientific reports Jan 28, 2024
The field of dysmorphology has been changed by the use Artificial Intelligence (AI) and the development of Next Generation Phenotyping (NGP). The aim of this study was to propose a new NGP model for predicting KS (Kabuki Syndrome) on 2D facial photog...
Humans Artificial Intelligence Phenotype Retrospective Studies Genotype Mutation Face Hematologic Diseases Abnormalities, Multiple Vestibular Diseases Histone Demethylases
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Machine-Learning-Enabled Virtual Screening for Inhibitors of Lysine-Specific Histone Demethylase 1.

Molecules (Basel, Switzerland) Dec 10, 2021
A machine learning approach has been applied to virtual screening for lysine specific demethylase 1 (LSD1) inhibitors. LSD1 is an important anti-cancer target. Machine learning models to predict activity were constructed using Morgan molecular finger...
Humans Machine Learning Databases, Factual Molecular Structure Drug Evaluation, Preclinical Enzyme Inhibitors Lysine Histone Demethylases
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