AIMC Topic: Mitochondrial Proteins

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Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms.

Journal of microbiology and biotechnology Sep 23, 2024
As a treatment for esophageal squamous cell carcinoma (ESCC), which is common and fatal, mitophagy is a conserved cellular mechanism that selectively removes damaged mitochondria and is crucial for cellular homeostasis. While tumor development and re...
Single-Cell Analysis RNA-Seq Single-Cell Gene Expression Analysis Gene Expression Regulation, Neoplastic Biomarkers, Tumor Transcriptome Cell Line, Tumor Esophageal Squamous Cell Carcinoma Apoptosis Regulatory Proteins Mitochondrial Proteins Mitophagy Cell Proliferation Cell Movement Esophageal Neoplasms Mitochondria Humans Machine Learning Algorithms Prognosis
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A novel deep learning-assisted hybrid network for plasmodium falciparum parasite mitochondrial proteins classification.

PloS one Oct 6, 2022
Plasmodium falciparum is a parasitic protozoan that can cause malaria, which is a deadly disease. Therefore, the accurate identification of malaria parasite mitochondrial proteins is essential for understanding their functions and identifying novel d...
Parasites Plasmodium falciparum Malaria Mitochondrial Proteins Humans Artificial Intelligence Algorithms Animals Deep Learning
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Application of Feature Selection and Deep Learning for Cancer Prediction Using DNA Methylation Markers.

Genes Aug 29, 2022
DNA methylation is a process that can affect gene accessibility and therefore gene expression. In this study, a machine learning pipeline is proposed for the prediction of breast cancer and the identification of significant genes that contribute to t...
Humans Deep Learning RNA-Binding Proteins Nuclear Proteins DNA Methylation Machine Learning Female Carrier Proteins Breast Neoplasms Genetic Markers Mitochondrial Proteins TATA-Binding Protein Associated Factors
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iTTCA-MFF: identifying tumor T cell antigens based on multiple feature fusion.

Immunogenetics Mar 5, 2022
Cancer is a terrible disease, recent studies reported that tumor T cell antigens (TTCAs) may play a promising role in cancer treatment. Since experimental methods are still expensive and time-consuming, it is highly desirable to develop automatic com...
Humans Algorithms T-Lymphocytes Amino Acids Amino Acid Sequence Mitochondrial Proteins Neoplasms Computational Biology Membrane Proteins Support Vector Machine
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In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal Proteins.

International journal of molecular sciences Jun 15, 2021
Peroxisomes are ubiquitous membrane-bound organelles, and aberrant localisation of peroxisomal proteins contributes to the pathogenesis of several disorders. Many computational methods focus on assigning protein sequences to subcellular compartments,...
Protein Transport Peroxisomes Mitochondrial Proteins Reproducibility of Results Deep Learning Membrane Proteins Amino Acid Sequence Software Algorithms
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DeepPred-SubMito: A Novel Submitochondrial Localization Predictor Based on Multi-Channel Convolutional Neural Network and Dataset Balancing Treatment.

International journal of molecular sciences Aug 9, 2020
Mitochondrial proteins are physiologically active in different compartments, and their abnormal location will trigger the pathogenesis of human mitochondrial pathologies. Correctly identifying submitochondrial locations can provide information for di...
Mitochondrial Membranes Humans Neural Networks, Computer Computational Biology Algorithms Mitochondria Deep Learning Protein Transport Mitochondrial Proteins
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Identification of Methylated Gene Biomarkers in Patients with Alzheimer's Disease Based on Machine Learning.

BioMed research international Mar 26, 2020
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder and characterized by the cognitive impairments. It is essential to identify potential gene biomarkers for AD pathology.
Cyclin-Dependent Kinase Inhibitor p57 Protein Tyrosine Phosphatases Gene Expression Regulation, Neoplastic Patients DNA-Binding Proteins Peptide Hydrolases Transcription Factors Genetic Markers Mitochondrial Proteins Humans DNA Methylation Alzheimer Disease Machine Learning Microfilament Proteins Carrier Proteins
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MMPdb and MitoPredictor: Tools for facilitating comparative analysis of animal mitochondrial proteomes.

Mitochondrion Jan 20, 2020
Data on experimentally-characterized animal mitochondrial proteomes (mt-proteomes) are limited to a few model organisms and are scattered across multiple databases, impeding a comparative analysis. We developed two resources to address these problems...
Humans Machine Learning Animals Mice Proteome Acanthamoeba castellanii Databases, Protein Drosophila melanogaster Caenorhabditis elegans Mitochondria Mitochondrial Proteins Energy Metabolism Saccharomyces cerevisiae
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Mitochondrial dysfunction in rheumatoid arthritis: A comprehensive analysis by integrating gene expression, protein-protein interactions and gene ontology data.

PloS one Nov 8, 2019
Several studies have reported mitochondrial dysfunction in rheumatoid arthritis (RA). Many nuclear DNA (nDNA) encoded proteins translocate to mitochondria, but their participation in the dysfunction of this cell organelle during RA is quite unclear. ...
Humans Models, Biological Mitochondrial Proteins Synovial Membrane Gene Expression Profiling Oxidative Phosphorylation Mitochondria Apoptosis Protein Interaction Maps Gene Expression Regulation Arthritis, Rheumatoid Reactive Oxygen Species Gene Ontology Inflammation
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Analyzing complex single-molecule emission patterns with deep learning.

Nature methods Oct 30, 2018
A fluorescent emitter simultaneously transmits its identity, location, and cellular context through its emission pattern. We developed smNet, a deep neural network for multiplexed single-molecule analysis to retrieve such information with high accura...
Mitochondrial Proteins Single-Cell Analysis COS Cells Neural Networks, Computer Microscopy, Fluorescence Animals Mitochondria Deep Learning Chlorocebus aethiops
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