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DEX Abstract | Example Results | Documentation | Get DEX | References DEX (Deconvolution of EXchange data) is a complete package for calculating the backbone amide exchange populations of Hydrogen/Deuterium exchange (H/D exchange) experiments from high resolution mass spectrometry data. This determination is accomplished by extracting a calculated natural isotopic profile for a peptide using a deconvolution calculation to reveal the level of deuteration present. If a fast exchanging side chain deuteration profile is also present (as in MALDI-TOF), this profile may also be removed by the deconvolution. DEX is written in ANSI C/C++ languages, and the source code is available. It runs in a command line environment, and executes the calculations in seconds. It is capable of high-throughput calculation, and greatly improves the data collection process over simpler methods. Included in the package are programs to automatically evaluate the deconvoluted results by visual inspection, population weights or centroids. This program will handle both singly charged species from MALDI-TOF as well as multiply charged species from ESI-TOF and other instruments. DEX is described in the publication Automated extraction of backbone deuteration levels from amide H/2H mass spectrometry experiments 1 by Hotchko et. al 2006, who wrote the program along with Lynn Ten Eyck.
DEX is Free Software in the technical sense as defined by the
Free Software Foundation (see
Categories of Free and Non-Free Software). DEX is distributed under the terms of the
GNU General Public License (GPL). Non-free licenses for DEX are also available that permit different
terms of use other than the GPL. Contact Lynn Ten Eyck
concerning Non-Free licenses.
Upon submission of this form, you will receive email instructions on how to get a copy of the DEX source code and binaries. [1] Hotchko, M., Komives, E. A., and Ten Eyck, T. F. (2006) "Automated extraction of backbone deuteration levels from amide H/2H mass spectrometry experiments". Protein Sci.15: 583-601. Other References [1] Law, D, Hotchko M, and Ten Eyck, T. F. (2005) "Progress in computation and amide hydrogen exchange for prediction of protein - protein complexes". Proteins 60: 302-307. |
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| June 19, 2013 | San Diego Supercomputer Center |
| URL: http://www.sdsc.edu/CCMS/DEX | © Copyright 2008 University of California at San Diego |