TITINdb

TITINdb provides analysis and interpretation of titin non-synonymous single nucleotide variants (nsSNVs), mapping variants to domain structures across titin's 363 coding exons and delivering computational impact predictions to support variant interpretation.


Key Features:

  • Comprehensive data integration: Integrates titin structural domains, variant data, sequence details, and isoform variations to contextualize nsSNVs (non-synonymous single nucleotide variants).
  • Domain mapping across 363 coding exons: Maps nsSNVs to specific titin domain structures and locations within the 363 coding exons to address challenges of titin's large size.
  • Pre-computed impact predictions: Provides pre-calculated computational predictions of the potential functional impacts of nsSNVs on titin.

Scientific Applications:

  • Variant classification: Supports distinguishing pathogenic from non-pathogenic titin nsSNVs to inform genetic interpretation.
  • Muscular disorder research: Enables investigation of titin variant contributions to conditions such as cardiomyopathies and muscular dystrophies.
  • Precision/clinical genomics: Facilitates identification of patient-specific titin mutations for downstream translational or therapeutic studies.

Methodology:

Integration of diverse datasets describing titin's genetic and structural properties and application of computational predictions to assess the functional impact of nsSNVs within titin's domain architecture.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
7/7/2019
Last Updated:
11/24/2024

Operations

Publications

Laddach A, Gautel M, Fraternali F. TITINdb—a computational tool to assess titin’s role as a disease gene. Bioinformatics. 2017;33(21):3482-3485. doi:10.1093/bioinformatics/btx424. PMID:29077808. PMCID:PMC5860166.

PMID: 29077808
PMCID: PMC5860166
Funding: - British Heart Foundation: CH/08/001, RE/13/2/30182, RG/15/8/31480 - Biotechnology and Biological Sciences Research Council: BB/H018409/1

Documentation

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