Explore the words cloud of the TTNPred project. It provides you a very rough idea of what is the project "TTNPred" about.
The following table provides information about the project.
Coordinator |
UNIVERSITAT KONSTANZ
Organization address contact info |
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.
# | ||||
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1 | UNIVERSITAT KONSTANZ | DE (KONSTANZ) | coordinator | 171˙460.00 |
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 |
---|---|---|---|
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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The information about "TTNPRED" are provided by the European Opendata Portal: CORDIS opendata.
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