Titlebar

Export bibliographic data
Literature by the same author
plus on the publication server
plus at Google Scholar

 

MTMDAT : Automated analysis and visualization of mass spectrometry data for tertiary and quaternary structure probing of proteins

Title data

Hennig, Janosch ; Hennig, Klaus D. M. ; Sunnerhagen, Maria:
MTMDAT : Automated analysis and visualization of mass spectrometry data for tertiary and quaternary structure probing of proteins.
In: Bioinformatics. Vol. 24 (2008) Issue 10 . - pp. 1310-1312.
ISSN 1367-4803
DOI: https://doi.org/10.1093/bioinformatics/btn116

Abstract in another language

In structural biology and -genomics, nuclear magnetic resonance (NMR) spectroscopy and crystallography are the methods of choice, but sample requirements can be hard to fulfil. Valuable structural information can also be obtained by using a combination of limited proteolysis and mass spectrometry, providing not only knowledge of how to improve sample conditions for crystallization trials or NMR spectrosopy by gaining insight into subdomain identities but also probing tertiary and quaternary structure, folding and stability, ligand binding, protein interactions and the location of post-translational modifications. For high-throughput studies and larger proteins, however, this experimentally fast and easy approach produces considerable amounts of data, which until now has made the evaluation exceedingly laborious if at all manually possible. MTMDAT, equipped with a browser-like graphical user interface, accelerates this evaluation manifold by automated peak picking, assignment, data processing and visualization.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Chair Biochemistry with an Emphasis on Biophysical Chemistry > Chair Biochemistry with an Emphasis on Biophysical Chemistry - Univ.-Prof. Dr. Janosch Hennig
Result of work at the UBT: No
DDC Subjects: 500 Science > 540 Chemistry
500 Science > 570 Life sciences, biology
Date Deposited: 08 Oct 2021 09:14
Last Modified: 08 Oct 2021 09:14
URI: https://eref.uni-bayreuth.de/id/eprint/67256