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Development of novel computational biology pipeline for the efficient classification of titin SNPs for clinical use

Total Cost €


EC-Contrib. €






 TTNPred project word cloud

Explore the words cloud of the TTNPred project. It provides you a very rough idea of what is the project "TTNPred" about.

poorly    heart    function    diagnostic    distributed    subsequent    dna    pathogenic    disease    poly    giant    structural    titin    single    components    aid    ultimately    exchange    medium    classification    molecular    biophysical    repetition    loci    muscle    screening    disorders    genomics    detecting    existent    patients    estimating    staggering    predicts    models    extrapolated    calculations    stable    protein    conformational    harvest    nucleotide    risk    mutations    gt    biochemical    17    tool    map    effect    polymorphisms    rest    clinicians    energy    75    feasible    throughput    patient    data    pipeline    link    clinically    benchmarked    first    filtering    dynamics    msnp    predictions    hot    functional    accumulating    truncation    evaluation    training    bioinformatics    databases    considering    stages    vulnerability    spots    chain    free    calculated    methodology    domain    missense    cohorts    truncations    scoring    routine    predictors    populations    experimentally    centric    human    substantial    mechanistic    community    clarified    pertinent    msnps    intervention   

Project "TTNPred" data sheet

The following table provides information about the project.


Organization address
postcode: 78464

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 171˙460 €
 EC max contribution 171˙460 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2020-02-28


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAT KONSTANZ DE (KONSTANZ) coordinator 171˙460.00


 Project objective

Mutations in the giant muscle protein titin are a major cause of heart disorders in human populations. Routine DNA screening of patient cohorts is now becoming feasible, with a staggering number of titin truncations and missense single nucleotide polymorphisms (mSNPs) rapidly accumulating in genomics databases (>17,000 mSNPs). While the link between titin truncation and disease is now becoming clarified, detecting the pathogenic potential of mSNPs remains a substantial challenge. In mSNPs classification, bioinformatics evaluation is a necessary first filtering step, but existing predictors are poorly reliable. To address this problem, we aim to develop a new titin-centric scoring function that predicts the mechanistic effect of an mSNP exchange in the titin protein by considering the specific characteristics of its poly-domain chain. For this work, we will build a medium-throughput molecular diagnostic pipeline that harvest existent structural models of titin components in estimating mSNPs-induced changes in free energy and conformational dynamics in the protein. Calculations will be benchmarked against experimentally obtained biophysical and biochemical data. To develop this methodology, we will use a clinically pertinent training set of 75 mSNPs. However, in a subsequent step, stable predictions will be extrapolated to the rest of the titin chain by exploiting the repetition of structural and functional loci within the chain. A titin map of vulnerability “hot-spots” so calculated will be distributed to the research community. Ultimately, we aim to produce a tool that can aid clinicians to identify patients at risk of developing a titin-based heart condition at early disease stages, where intervention is still possible.


year authors and title journal last update
List of publications.
2019 Yevheniia Nesterenko, Christopher J. Hill, Jennifer R. Fleming, Patricia Murray, Olga Mayans
The ZT Biopolymer: A Self-Assembling Protein Scaffold for Stem Cell Applications
published pages: 4299, ISSN: 1422-0067, DOI: 10.3390/ijms20174299
International Journal of Molecular Sciences 20/17 2019-09-09
2019 Christopher J. Hill, Jennifer R. Fleming, Masoumeh Mousavinejad, Rachael Nicholson, Svetomir B. Tzokov, Per A. Bullough, Julius Bogomolovas, Mark R. Morgan, Olga Mayans, Patricia Murray
Self-Assembling Proteins as High-Performance Substrates for Embryonic Stem Cell Self-Renewal
published pages: 1807521, ISSN: 0935-9648, DOI: 10.1002/adma.201807521
Advanced Materials 2019-06-03
2019 Michael Adams, Jennifer R. Fleming, Eva Riehle, Tiankun Zhou, Thomas Zacharchenko, Marija Markovic, Olga Mayans
Scalable, Non-denaturing Purification of Phosphoproteins Using Ga3+-IMAC: N2A and M1M2 Titin Components as Study case
published pages: 181-189, ISSN: 1572-3887, DOI: 10.1007/s10930-019-09815-w
The Protein Journal 38/2 2019-09-05

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