Abstract

Here we introduce the software BIOSPEAN, which is applicable for processing of peptide/protein profiles obtained from MALDI intact cell/spore mass spectrometry. It has been developed as a web application using common technology. The BIOSPEAN automatically finds peaks in a mass spectrum. The peak detection principle involves a local scanning of intensity values around individual m/z positions. To cope with the level of noise, a threshold signalto- noise ratio is adjusted for filtering relevant results. Based on the detected peak pattern, a similarity search in a custom spectral database can subsequently be performed for sample identification. When a spectrum is analyzed by comparison with a database entry, a percentage score value is calculated from the number of identical peak positions found (they are assigned with an adjustable mass tolerance) divided by the number of all detected peaks in the analyzed spectrum. Each two spectra may also be compared in the opposite way and both score values averaged. The database search results are finally sorted in a table.

Highlights

  • Since the discovery of soft ionization techniques at the end of the 1980s, mass spectrometry (MS) has become an important tool in biological research [1]

  • The application BIOSPEAN is able to calculate a number of similarity values for a single analyzed spectrum resulting from its comparisons with all spectra in a user-made database

  • The BIOSPEAN can be regarded as a novel solution for IC/IS MS and to our knowledge there is no comparable equivalent available in the form of a web application

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Summary

Introduction

Since the discovery of soft ionization techniques at the end of the 1980s, mass spectrometry (MS) has become an important tool in biological research [1]. The instruments are provided by their vendors with a licensed software, which is utilized by users for the acquisition (including instrument calibration) and saving of mass spectra, processing of the acquired spectra (smoothing, baseline correction, peak picking, peaklist building etc.), spectra comparison and searches against spectral or sequence databases. The identification is done by comparison of the respective sample spectrum with a library of reference spectra.

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