AIMC Topic: Mitochondrial Proteins

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Disruption of Hsp70.14-BAG2 Protein-Protein interactions using deep Learning-Driven peptide design and molecular simulations.

Computers in biology and medicine Jun 3, 2025
Protein-protein interactions (PPIS) are critical in proteostasis, stress response, and disease progression. Targeting the interaction between Hsp70.14 and BAG2, a co-chaperone implicated in oncogenic survival, offers a promising therapeutic approach....
Humans Molecular Docking Simulation Molecular Chaperones Antimicrobial Peptides Mitochondrial Proteins Deep Learning Chaperonin 60 Protein Binding Molecular Dynamics Simulation HSP70 Heat-Shock 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...
Mitochondrial Proteins Mitophagy Cell Line, Tumor Mitochondria Single-Cell Analysis Esophageal Squamous Cell Carcinoma Algorithms RNA-Seq Apoptosis Regulatory Proteins Prognosis Humans Single-Cell Gene Expression Analysis Biomarkers, Tumor Machine Learning Gene Expression Regulation, Neoplastic Transcriptome Cell Proliferation Cell Movement Esophageal Neoplasms
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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...
Mitochondrial Proteins Parasites Animals Deep Learning Plasmodium falciparum Malaria Humans Artificial Intelligence Algorithms
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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 Machine Learning Female DNA Methylation Carrier Proteins Genetic Markers Mitochondrial Proteins Breast Neoplasms Deep Learning RNA-Binding Proteins Nuclear 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...
Mitochondrial Proteins Support Vector Machine Amino Acids Amino Acid Sequence Humans Algorithms T-Lymphocytes Neoplasms Computational Biology Membrane Proteins
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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,...
Algorithms Software Reproducibility of Results Amino Acid Sequence Deep Learning Protein Transport Membrane Proteins Peroxisomes Mitochondrial Proteins
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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...
Humans Neural Networks, Computer Algorithms Protein Transport Deep Learning Mitochondrial Proteins Computational Biology Mitochondrial Membranes Mitochondria
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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.
DNA Methylation Carrier Proteins DNA-Binding Proteins Genetic Markers Machine Learning Gene Expression Regulation, Neoplastic Microfilament Proteins Transcription Factors Cyclin-Dependent Kinase Inhibitor p57 Alzheimer Disease Humans Protein Tyrosine Phosphatases Patients Peptide Hydrolases Mitochondrial 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...
Saccharomyces cerevisiae Acanthamoeba castellanii Drosophila melanogaster Caenorhabditis elegans Mitochondrial Proteins Proteome Databases, Protein Mitochondria Energy Metabolism Machine Learning Animals Mice Humans
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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. ...
Reactive Oxygen Species Models, Biological Arthritis, Rheumatoid Mitochondria Inflammation Humans Gene Expression Regulation Synovial Membrane Gene Ontology Gene Expression Profiling Apoptosis Mitochondrial Proteins Protein Interaction Maps Oxidative Phosphorylation
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