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Development of comprehensive and user-friendly bioinformatics tools to study protein structures and interactions in mass spectrometry-based chemical cross-linking

Objective

Mass spectrometry-based chemical cross-linking (XL-MS) is an emerging field to study protein structures, conformations and interactions. Despite its great potential, the data analysis part hinders its widespread applications for a variety of reasons. First, an arduous manual validation is still used in many laboratories. Second, most of the available bioinformatics tools are limited to conventional cross-linkers and not the new type of cross-linkers: MS-cleavable cross-linkers which are key to study protein interactions. Besides, almost every tool has been developed for identification but not quantification, which provides valuable information for changes in protein conformations. Above all, these tools are not user-friendly and requires an assistance of an expert bioinformatician for analysis. I therefore plan to develop fully-automated, comprehensive, user-friendly and free bioinformatics tools for XL-MS studies. This will be a part of one of the most commonly used proteomics software, MaxQuant, developed in the Cox group. MaxQuant software has already well-established preprocessing steps and a solid background. These will facilitate developing specialized tools in XL-MS effectively. I will build these bioinformatics tools which will be introduced as a module for MaxQuant software. My fellowship will cover the following three tasks: i) the identification of the protein samples by conventional cross-linkers, ii) a complete identification workflow for the analysis with MS-cleavable cross-linker and iii) performing relative quantification of over many samples. The extended version of MaxQuant will allow scientists from mass spectrometry or structural biology laboratories to analyze their XL-MS data efficiently without any assistance of bioinformatics expert. Moreover, the fully-automated and user-friendly feature of the tool will make cross-linking as one of the routine tools in structural biology.

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Topic(s)

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Funding Scheme

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MSCA-IF-EF-ST - Standard EF

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Call for proposal

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(opens in new window) H2020-MSCA-IF-2017

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Coordinator

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 171 460,80
Address
HOFGARTENSTRASSE 8
80539 MUNCHEN
Germany

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 171 460,80
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