“MassMatrix [mmSearch] offers unique core functionality…low false discovery rate and high performance with modern high resolution instruments…that makes it an ideal analytical engine for protein characterization workflows.”
Director, Protein Analytics, Top 10 Pharmaceutical Company
mmSearch Unique Features
- Mass Accuracy Sensitive Probabilistic Scoring Model: Pure statistical models that are sensitive to high mass accuracy. The mass accuracy sensitive models provide better discrimination between true and false positives for high mass accuracy LC-MS/MS data collected on modern mass spectrometers.
- Automated Disulfide Linkage and Chemical Cross-Linkage Searching: Proteins and peptides with disulfide bonds or chemical cross linking can be directly identified without chemical reduction and/or other derivatization. Our unique XMapper (see below) algorithm scores disulfide bonds and chemical crosslinks by aggregating peptide matches. XMapper provides a quick and reliable way to compare disulfide bonds or crosslink identifications within and across searches.
- PTM search: mmSearch provides high sensitivity and specificity for the identification and site localization of post-translational modifications on proteins and peptides.
- Hierarchical MSn (n>2) spectral data base searching for peptide: Hierarchical search improves confidence of peptides with neutral losses, such as phosphopeptides. This algorithm can be applied to peptides that are difficult to identify by MS2 only, e.g. peptides with multiple phosphorylations.
Sample Heat Map of Crosslink Peptides Generated by mmSearch’s XMapper