ProMEX: A Database for Protein Identification
Author Information
Author(s): Jan Hummel, Michaela Niemann, Stefanie Wienkoop, Waltraud Schulze, Dirk Steinhauser, Joachim Selbig, Dirk Walther, Wolfram Weckwerth
Primary Institution: Max Planck Institute of Molecular Plant Physiology
Hypothesis
Can a mass spectral reference library improve protein identification in complex biological samples?
Conclusion
The ProMEX database serves as a valuable resource for protein identification and integrates various levels of biological data.
Supporting Evidence
- The database contains 4,557 validated spectra from 1,367 proteins.
- ProMEX integrates proteomics data with metabolite and transcript information.
- The identification performance improved for phosphorylated peptides compared to genome-based algorithms.
Takeaway
ProMEX is like a big library that helps scientists find out what proteins are in plants by matching them to known samples.
Methodology
A mass spectral library was created using LC-IT-MS to analyze protein samples and validate peptide spectra.
Limitations
The dataset may be incomplete compared to genomic databases, and high computational demands may limit usability.
Participant Demographics
The database includes proteins from Arabidopsis thaliana, Chlamydomonas reinhardii, Medicago truncatula, and Sinorhizobium meliloti.
Digital Object Identifier (DOI)
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