NEWS: MassMatrix search engine v2.4.0 has been released to support Ultraviolet Photodissociation (UVPD) and hybrid fragmentations with two or more methods, such as CID/HCD, UVPD/ETD and etc.
MassMatrix Database Search Engine
NEWS: The new PC version of MassMatrix Search Engine has been released in Oct. 2009.
This new free PC version has the cross-link search function.
MassMatrix is a newly developed
database search software package for tandem mass spectrometric data. It uses a
mass accuracy sensitive probabilistic scoring model to rank peptide and protein
matches. MassMatrix provides improvements in sensitivity over Mascot and SEQUEST
with comparably low false positives. MassMatrix has additional capabilities that
set it apart for other algorithms. It is capable of searching through
hierarchical MSn (n>=3) spectra (useful in phosphopeptide
analysis) where higher confidence in peptide ID can be achieved over
MS2 alone. The algorithm is also capable of direct searching of
disulfide or chemical cross-linked peptides.
General
Features
MS/MS Data: mzXML, MGF,
and mzData.
Protein
Database: FASTA
sequences, MassMatrix BAS format.
Results: Html format.
Unique
Aspects
Mass Accuracy Sensitive Probabilistic Scoring Model: Pure statistical model that is sensitive to
high mass accuracy.
Generic Searching Algorithms and Models: Isotope labeling, DNA and RNA sequences and carbohydrate
side-chain cleavages.
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 derivatiization, like normal proteins and peptides.
Hierarchical
MSn (n>=3)
spectral data base searching for peptide:
MS2 <=> MSn (n>=3) search algorithm to raise scores and confidence and
search peptides with significant neutral loss such as phosphopeptides. This
algorithm can be applied to identify peptides that are difficult to be
identified only by MS2 spectra, such as peptides with multiple
phosphorylation sites.
RPLC Retention Time Prediction Model: Retention time is predicted by peptides' hydrophobicity. A
statistical score provided based on the model.