AIMC Topic: Mitochondrial Proteins

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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 COS Cells Chlorocebus aethiops Deep Learning Single-Cell Analysis Microscopy, Fluorescence Mitochondria Neural Networks, Computer Animals
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TPpred3 detects and discriminates mitochondrial and chloroplastic targeting peptides in eukaryotic proteins.

Bioinformatics (Oxford, England) Jun 16, 2015
MOTIVATION: Molecular recognition of N-terminal targeting peptides is the most common mechanism controlling the import of nuclear-encoded proteins into mitochondria and chloroplasts. When experimental information is lacking, computational methods can...
Eukaryota Sequence Analysis, Protein Software Mitochondrial Proteins Peptides Chloroplast Proteins Support Vector Machine Mitochondria Chloroplasts Protein Transport Machine Learning
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CHCHD4 Oxidoreductase Activity: A Comprehensive Analysis of the Molecular, Functional, and Structural Properties of Its Redox-Regulated Substrates.

Molecules (Basel, Switzerland) May 10, 2025
The human CHCHD4 protein, which is a prototypical family member, carries a coiled-coil-helix-coiled-coil-helix motif that is stabilized by two disulfide bonds. Using its CPC sequence motif, CHCHD4 plays a key role in mitochondrial metabolism, cell su...
Models, Molecular Mitochondria Humans Oxidation-Reduction Mitochondrial Proteins Mitochondrial Precursor Protein Import Complex Proteins Substrate Specificity Oxidoreductases
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Human mitochondrial protein complexes revealed by large-scale coevolution analysis and deep learning-based structure modeling.

Bioinformatics (Oxford, England) Sep 15, 2022
MOTIVATION: Recent development of deep-learning methods has led to a breakthrough in the prediction accuracy of 3D protein structures. Extending these methods to protein pairs is expected to allow large-scale detection of protein-protein interactions...
Deep Learning Computational Biology Proteome Humans Mitochondrial Proteins
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iDeepSubMito: identification of protein submitochondrial localization with deep learning.

Briefings in bioinformatics Nov 5, 2021
Mitochondria are membrane-bound organelles containing over 1000 different proteins involved in mitochondrial function, gene expression and metabolic processes. Accurate localization of those proteins in the mitochondrial compartments is critical to t...
Neural Networks, Computer Datasets as Topic Protein Transport Algorithms Deep Learning Submitochondrial Particles Mitochondrial Proteins
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DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks.

Bioinformatics (Oxford, England) Jan 1, 2020
MOTIVATION: The correct localization of proteins in cell compartments is a key issue for their function. Particularly, mitochondrial proteins are physiologically active in different compartments and their aberrant localization contributes to the path...
Mitochondrial Proteins Protein Transport Humans Neural Networks, Computer Software Computational Biology
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Computer-based prediction of mitochondria-targeting peptides.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
Computational methods are invaluable when protein sequences, directly derived from genomic data, need functional and structural annotation. Subcellular localization is a feature necessary for understanding the protein role and the compartment where t...
Datasets as Topic Genomics Protein Transport Computational Biology Artificial Intelligence Mitochondria Humans Internet Mitochondrial Proteins Peptides Models, Biological
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