DigDig: A Software for In-Depth Analysis and Comparison of Proteolytic Digestion
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F25%3A00639921" target="_blank" >RIV/61388971:_____/25:00639921 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/25:10508011
Result on the web
<a href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c04217" target="_blank" >https://pubs.acs.org/doi/10.1021/acs.analchem.5c04217</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1021/acs.analchem.5c04217" target="_blank" >10.1021/acs.analchem.5c04217</a>
Alternative languages
Result language
angličtina
Original language name
DigDig: A Software for In-Depth Analysis and Comparison of Proteolytic Digestion
Original language description
Proteolysis is a crucial step in both bottom-up and structural proteomics workflows, directly influencing peptide identification and sequence coverage in mass spectrometry-based analyses. While classical proteomics typically relies on highly specific enzymes with well-defined cleavage patterns, structural MS approaches such as hydrogen/deuterium exchange mass spectrometry (HDX-MS) often employ nonspecific or semispecific proteases, producing complex peptide mixtures that require more detailed digestion analysis. To address these needs and streamline the entire process, we developed DigDig, a standalone, Java-based software tool for evaluating and comparing proteolytic digestion across diverse experimental conditions. DigDig processes output files from common search engines and provides customizable visualizations of key digestion metrics, including sequence coverage, reproducibility, peptide redundancy, cleavage site preferences, and peptide length distributions. A distinguishing feature is its ability to detect and report repetitive peptide sequences, which are frequently missed by standard tools. We demonstrate its capabilities using data sets from both specific and nonspecific digestions, highlighting its utility in digestion quality control, protease characterization, and method development, particularly in HDX-MS workflows. DigDig is freely available at https://peterslab.org/DigDig/.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10606 - Microbiology
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Analytical Chemistry
ISSN
0003-2700
e-ISSN
1520-6882
Volume of the periodical
97
Issue of the periodical within the volume
39
Country of publishing house
US - UNITED STATES
Number of pages
6
Pages from-to
21205-21210
UT code for WoS article
001582712600001
EID of the result in the Scopus database
2-s2.0-105018459768