MitoTIP
MitoTIP predicts the impact of novel or rare mitochondrial tRNA variants on mitochondrial function by integrating comparative variant data, evolutionary conservation, and tRNA structural analysis to assess pathogenicity.
Key Features:
- Variant pathogenicity prediction: Distinguishes benign and pathogenic mitochondrial tRNA variants by assessing their predicted effects on mitochondrial function.
- Comparative variant database referencing: References databases of benign and pathogenic tRNA variants for comparative analysis.
- Evolutionary conservation analysis: Incorporates alignments of diverse tRNAs across species to identify evolutionarily conserved regions important for function.
- Structural tRNA analysis: Integrates three-dimensional tRNA structural information to predict disruptions to tRNA folding and processing.
- Variant types assessed: Evaluates single-base variants and deletions within mitochondrial tRNA sequences.
- Integrative data approach: Combines multiple data sources and methodologies for comprehensive assessment.
Scientific Applications:
- Pathogenicity classification: Classification of novel or rare mitochondrial tRNA variants as benign or pathogenic.
- Interpretation of mitochondrial DNA analysis: Interpretation of tRNA sequence variants identified through mitochondrial DNA analysis.
- Identification of functional regions: Detection of evolutionarily conserved tRNA regions that are likely functionally critical when mutated.
- Prediction of structural and functional impact: Prediction of how single-base variants and deletions may disrupt tRNA folding and processing, affecting mitochondrial protein synthesis and cellular energy production.
Methodology:
MitoTIP uses an integrative approach combining multiple data sources and methodologies, referencing benign and pathogenic tRNA variant databases, incorporating cross-species tRNA alignments to identify conserved regions, and integrating three-dimensional tRNA structural information to analyze effects of single-base variants and deletions on folding and processing.
Topics
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- plugin
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 6/25/2018
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Polymorphism detection
Inputs
Publications
Sonney S, Leipzig J, Lott MT, Zhang S, Procaccio V, Wallace DC, Sondheimer N. Predicting the pathogenicity of novel variants in mitochondrial tRNA with MitoTIP. PLOS Computational Biology. 2017;13(12):e1005867. doi:10.1371/journal.pcbi.1005867. PMID:29227991. PMCID:PMC5739504.
Documentation
Downloads
- Source codehttps://github.com/sonneysa/MitoTIP