AIMC Topic: Heme

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Inhibiting heme piracy by pathogenic Escherichia coli using de novo-designed proteins.

Nature communications Jul 9, 2025
Iron is an essential nutrient for most bacteria and is often growth-limiting during infection, due to the host sequestering free iron as part of the innate immune response. To obtain the iron required for growth, many bacterial pathogens encode trans...
Hemoglobins Heme Iron Bacterial Outer Membrane Proteins Cryoelectron Microscopy Crystallography, X-Ray Escherichia coli Proteins Protein Binding Models, Molecular Escherichia coli
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Graphene-based FETs for advanced biocatalytic profiling: investigating heme peroxidase activity with machine learning insights.

Mikrochimica acta Mar 3, 2025
Graphene-based field-effect transistors (GFETs) are rapidly gaining recognition as powerful tools for biochemical analysis due to their exceptional sensitivity and specificity. In this study, we utilize a GFET system to explore the peroxidase-based b...
Hydrogen Peroxide Machine Learning Horseradish Peroxidase Biocatalysis Graphite Transistors, Electronic Heme
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Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Advancing diagnostic testing capabilities such as clinical next generation sequencing methods offer the potential to diagnose, risk stratify, and guide specialized treatment, but must be balanced against the escalating costs of healthcare to identify...
High-Throughput Nucleotide Sequencing Hematologic Neoplasms Machine Learning Heme Humans Precision Medicine Mutation
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HEMEsPred: Structure-Based Ligand-Specific Heme Binding Residues Prediction by Using Fast-Adaptive Ensemble Learning Scheme.

IEEE/ACM transactions on computational biology and bioinformatics Oct 4, 2016
Heme is an essential biomolecule that widely exists in numerous extant organisms. Accurately identifying heme binding residues (HEMEs) is of great importance in disease progression and drug development. In this study, a novel predictor named HEMEsPre...
Machine Learning Protein Structure, Secondary Software Heme Computational Biology Models, Molecular Binding Sites Databases, Protein Algorithms Protein Binding
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Integrating Bulk and Single-Cell Transcriptomics with Machine Learning Reveals a Heme Metabolism-Based Panel for Lung Adenocarcinoma Chemotherapy Resistance.

International journal of molecular sciences May 14, 2025
Lung adenocarcinoma (LUAD) is a leading cause of cancer-related mortality, with heme metabolism playing a critical role in tumor progression and treatment resistance. This study investigates the clinical implications of heme metabolism in LUAD, focus...
Lung Neoplasms Gene Expression Regulation, Neoplastic Single-Cell Analysis Heme Drug Resistance, Neoplasm Cisplatin Ferroptosis Gene Expression Profiling Cell Line, Tumor Transcriptome Female Antineoplastic Agents Prognosis Multidrug Resistance-Associated Proteins Adenocarcinoma of Lung Machine Learning Multidrug Resistance-Associated Protein 2 Humans
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