AIMC Topic: Mitochondria
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Effects and inhibition mechanism of phenazine-1-carboxamide on the mycelial morphology and ultrastructure of Rhizoctonia solani.
Pesticide biochemistry and physiology
Oct 24, 2017
The purpose of this research was to explore the effect of phenazine-1-carboxamide (PCN) on Rhizoctonia solani and to elucidate its mechanisms of action. The toxicity of PCN to R. solani was measured using a growth rate method. The results indicated t...
Machine learning classifier for identification of damaging missense mutations exclusive to human mitochondrial DNA-encoded polypeptides.
BMC bioinformatics
Mar 7, 2017
BACKGROUND: Several methods have been developed to predict the pathogenicity of missense mutations but none has been specifically designed for classification of variants in mtDNA-encoded polypeptides. Moreover, there is not available curated dataset ...
Transcriptomic alterations in Sitophilus zeamais in response to allyl isothiocyanate fumigation.
Pesticide biochemistry and physiology
Oct 11, 2016
To study the fumigation mechanisms of Allyl isothiocyanate (AITC) a promising biorational alternative to present fumigants (phosphine and methyl bromide), and provide theoretical basis for its further development in the control of stored grain pests,...
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...
Quantifying small molecule phenotypic effects using mitochondrial morpho-functional fingerprinting and machine learning.
Scientific reports
Jan 26, 2015
In primary fibroblasts from Leigh Syndrome (LS) patients, isolated mitochondrial complex I deficiency is associated with increased reactive oxygen species levels and mitochondrial morpho-functional changes. Empirical evidence suggests these aberratio...
Learning structured models for segmentation of 2-D and 3-D imagery.
IEEE transactions on medical imaging
Nov 26, 2014
Efficient and accurate segmentation of cellular structures in microscopic data is an essential task in medical imaging. Many state-of-the-art approaches to image segmentation use structured models whose parameters must be carefully chosen for optimal...
Quantitative analysis of mitochondrial morphology and membrane potential in living cells using high-content imaging, machine learning, and morphological binning.
Biochimica et biophysica acta
Nov 13, 2014
Understanding the processes of mitochondrial dynamics (fission, fusion, biogenesis, and mitophagy) has been hampered by the lack of automated, deterministic methods to measure mitochondrial morphology from microscopic images. A method to quantify mit...
Carbonyl Cyanide m-Chlorophenyl Hydrazone
Cell Respiration
Stress, Physiological
Cell Membrane
Electron Transport
tert-Butylhydroperoxide
Oxidants
Mitochondria
Sodium-Potassium-Exchanging ATPase
Phenotype
Artificial Intelligence
Animals
Mice
Imaging, Three-Dimensional
Cell Line
Cell Survival
Membrane Potential, Mitochondrial
Protein submitochondrial localization from integrated sequence representation and SVM-based backward feature extraction.
Molecular bioSystems
Oct 21, 2014
Mitochondrion, a tiny energy factory, plays an important role in various biological processes of most eukaryotic cells. Mitochondrial defection is associated with a series of human diseases. Knowledge of the submitochondrial locations of proteins can...
Deep learning-driven automated mitochondrial segmentation for analysis of complex transmission electron microscopy images.
Scientific reports
May 30, 2025
Mitochondria are central to cellular energy production and regulation, with their morphology tightly linked to functional performance. Precise analysis of mitochondrial ultrastructure is crucial for understanding cellular bioenergetics and pathology....
The role of mitochondrial dysfunction in the pathogenesis of atherosclerosis: A new exploration from bioinformatics analysis.
Medicine
May 30, 2025
Atherosclerosis (AS) is a complex cardiovascular disease associated with mitochondrial dysfunction (MD), which contributes to plaque formation and instability. This study explores the relationship and shared risk factors between the pathogenesis of A...
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