TITINdb2 – Expanding Annotation and Structural Information for Protein Variants in the Giant Sarcomeric Protein Titin

Author:

Weston T.ORCID,Ng J. C-F.ORCID,Gracia Carmona O.,Gautel M.,Fraternali F.

Abstract

Structured AbstractSummaryWe present TITINdb2, an update to the TITINdb database previously constructed to facilitate the identification of pathogenic missense variants in the giant protein titin, which are associated with a variety of skeletal and cardiac myopathies. The database and web portal have been substantially revised and include the following new features: (i) an increase in computational annotation from 4 to 20 variant impact predictors, available through a new custom data table dialogue; (ii) thorough structural coverage of single domains with AlphaFold2 predicted models; (iii) newly predicted domain-domain interface annotations; (iv) an expandedin silicosaturation mutagenesis incorporating 4 variant impact predictors; (v) a comprehensive overhaul of available data, including population data sources and variants reported pathogenic in the literature; (vi) A curated mapping of existing protein, transcript and chromosomal sequence positions and a new variant conversion tool to translate variants in one format to any other format.Availability and ImplementationDatabase accessible via titindb.kcl.ac.uk/TITINdb/ContactFranca Fraternali (f.fraternali@ucl.ac.uk)Supplementary InformationAvailable

Publisher

Cold Spring Harbor Laboratory

Reference23 articles.

1. Adzhubei I , Jordan DM , Sunyaev SR . Predicting Functional Effect of Human Missense Mutations Using PolyPhen-2. Curr Protoc Hum Genet 2013;07:Unit7.20.

2. AlphaFold Protein Structure Database. https://alphafold.ebi.ac.uk/ (23 June 2022, last accessed)

3. POPS: a fast algorithm for solvent accessible surface areas at atomic and residue level

4. Accurate proteome-wide missense variant effect prediction with AlphaMissense;Science,2023

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