MitImpact

MitImpact annotates and models the effects of nucleotide changes that cause non-synonymous substitutions in human mitochondrial protein-coding genes to assess impacts on oxidative phosphorylation (OXPHOS) complexes, bioenergetics, adaptation, and disease.


Key Features:

  • Comprehensive annotations: Provides genomic, clinical, and functional annotations for all non-synonymous substitutions in the human mitochondrial genome.
  • Compensated Pathogenic Deviations (CPDs): Reports putative CPDs that may be pathogenic but are compensated by other variants.
  • Co-varying amino acid sites: Identifies co-varying amino acid sites in Respiratory Chain subunits.
  • Molecular dynamics simulations: Applies molecular dynamics simulation techniques to evaluate energetic and structural residue compensation in mitochondrial proteins.
  • Pathogenicity predictions: Includes pre-computed pathogenicity predictions for non-synonymous substitutions.
  • OXPHOS focus: Centers analyses on oxidative phosphorylation (OXPHOS) complexes and mitochondrial protein stability and function.

Scientific Applications:

  • Disease mechanism investigation: Facilitates investigation of mitochondrial contributions to disease mechanisms using annotated variant effects and pathogenicity predictions.
  • Evolutionary adaptation studies: Enables exploration of adaptive changes and compensatory evolution in mitochondrial proteins.
  • Mitochondrial–nuclear interaction analysis: Supports analysis of mitochondrial–nuclear interactions through annotated variant datasets.
  • Bioenergetics assessment: Allows assessment of impacts on OXPHOS function and cellular bioenergetics.

Methodology:

Uses molecular dynamics simulation techniques to assess energetic and structural residue compensation, alongside pre-computed pathogenicity predictions.

Topics

Details

Tool Type:
web application
Added:
1/18/2021
Last Updated:
11/24/2024

Operations

Publications

Castellana S, Biagini T, Petrizzelli F, Parca L, Panzironi N, Caputo V, Vescovi AL, Carella M, Mazza T. MitImpact 3: modeling the residue interaction network of the Respiratory Chain subunits. Nucleic Acids Research. 2020;49(D1):D1282-D1288. doi:10.1093/nar/gkaa1032. PMID:33300029. PMCID:PMC7779045.