• Record: found
  • Abstract: found
  • Poster: not found
Is Open Access

A novel tool for species identification from MS/MS spectra

ScienceOpen Posters


This work has been published open access under Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at

CAF, negative ion mode, proteinreader, database, graphical interface

Read this article at

      There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.


      ProteinReader (PT) is an expert software developed for the analysis of spectra produced with patented in-solution CAF-/CAF+ peptide derivatization reagent. PT is developed as client-server application to analyse MS/MS spectra on MALDI TOF/TOF mass spec. Four main advantages of CAF-/CAF+ technology are: • Allows to capture same peptide in positive and negative mode of operation – additional accuracy control • In positive mode of operation obtaining mostly Y-ions while in negative mode obtaining mostly B-ions - eased de novo readout • No degradation of the sample due to use of CAF-/CAF+ derivatisation reagent • Except unambiguous biotypization (species identification), antibiotic resistance can be easily find by aforementioned method ProteinReader uses two methods for peptide search: database match (NCBInr) and de novo reading. Each peptide can be read with the two spectra, in the positive and the negative ion mode. Testing of more than 200 microorganisms showed positive identification on the species level (strain was also successfully identified if present in NCBInr database). ProteinReader was developed using open source technologies (Java, Eclipse RCP, Linux, Apache Tomcat, Infobright data warehouse) and is designed to work effectively (parallel processing) in a multitier client-server architecture. • CAF-/CAF+ patent: • PBF Section for Bioinformatics: • IRB Laboratory for system biomedicine: • This work was funded by HRZZ (Croatian Science Foundation) research project “Clinical proteomics of microorganisms”.

      Related collections

      Author and article information



      Comment on this article