AIMC Topic: DNA, Mitochondrial

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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 ...
Humans Machine Learning Sensitivity and Specificity Peptides Computational Biology DNA, Mitochondrial Mitochondria DNA Mutational Analysis Mutation, Missense
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Mitochondrial mt12361A>G increased risk of metabolic dysfunction-associated steatotic liver disease among non-diabetes.

World journal of gastroenterology Mar 14, 2025
BACKGROUND: Insulin resistance, lipotoxicity, and mitochondrial dysfunction contribute to the pathogenesis of metabolic dysfunction-associated steatotic liver disease (MASLD). Mitochondrial dysfunction impairs oxidative phosphorylation and increases ...
Humans Adult Male Middle Aged Case-Control Studies Cohort Studies Polymorphism, Single Nucleotide Logistic Models Random Forest Non-alcoholic Fatty Liver Disease DNA, Mitochondrial Diabetes Complications Boosting Machine Learning Algorithms
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Adaptive sequencing using nanopores and deep learning of mitochondrial DNA.

Briefings in bioinformatics Jul 18, 2022
Nanopore sequencing is an emerging technology that reads DNA by utilizing a unique method of detecting nucleic acid sequences and identifies the various chemical modifications they carry. Deep learning has increased in popularity as a useful techniqu...
Humans Deep Learning Sequence Analysis, DNA DNA, Mitochondrial High-Throughput Nucleotide Sequencing Nanopores
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[Variability of Cytochrome b Gene and Adjacent Section of Gene tRNA-Thr of Mitochondrial DNA in the Northern Mole Vole Ellobius talpinus (Mammalia, Rodentia)].

Genetika Dec 1, 2015
The Northern mole vole E. talpinus, despite its wide distribution, is characterized by a stable karyotype (2n = NF = 54) and slight morphological polymorphism. We made a preliminary analysis of a mitochondrial DNA fragment to clarify the level of gen...
Animals Male DNA, Mitochondrial Genetic Variation Arvicolinae Cytochromes b RNA, Transfer, Thr
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