Timir Weston, Joseph Ng, Oriol Gracia Carmona, Mathias Gautel, Franca Fraternali
{"title":"TITINdb2-expanding annotation and structural information for protein variants in the giant sarcomeric protein titin.","authors":"Timir Weston, Joseph Ng, Oriol Gracia Carmona, Mathias Gautel, Franca Fraternali","doi":"10.1093/bioadv/vbaf062","DOIUrl":null,"url":null,"abstract":"<p><strong>Summary: </strong>We 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) through structural coverage of single domains with AlphaFold2 predicted models; (iii) newly predicted domain-domain interface annotations; (iv) an expanded <i>in silico</i> saturation mutagenesis incorporating four variant impact predictors; (v) a comprehensive overhaul of available data, including population data sources and variants reported pathogenic in the literature; and (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.</p><p><strong>Availability and implementation: </strong>The database is accessible via titindb.kcl.ac.uk/TITINdb/.</p>","PeriodicalId":72368,"journal":{"name":"Bioinformatics advances","volume":"5 1","pages":"vbaf062"},"PeriodicalIF":2.4000,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12017618/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformatics advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/bioadv/vbaf062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Summary: We 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) through structural coverage of single domains with AlphaFold2 predicted models; (iii) newly predicted domain-domain interface annotations; (iv) an expanded in silico saturation mutagenesis incorporating four variant impact predictors; (v) a comprehensive overhaul of available data, including population data sources and variants reported pathogenic in the literature; and (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 implementation: The database is accessible via titindb.kcl.ac.uk/TITINdb/.