Bioanalytical
Eliminating spurious matches in MS-based ID of biologically active substances
Sep 07 2010
Scientists at the University of Sydney have devised an open source tool named Harvest to analyse fragmentation patterns in order to differentiate between random and correct assignments of peptides in MS-MS experiments.
This quantitative analysis is the first time software has been developed specifically to implement and assess novel metrics for peptide matching and to explore a particular set of data's fragmentation patterns, they say.
Written in C++, the program allows fragmentation properties to be explored; however, the developers insist that it is not intended to maximise the proliferation of assigned peptides arising from a set of unknown spectra.
They also stress that the software is not for direct identification of biologically active substances, but for the assessment of the quality of obtained data, leading to a difference between its research applications and those of similar programs already commercially available.
Digital Edition
Chromatography Today - Buyers' Guide 2022
December 2021
In This Edition Modern & Practocal Applications - Accelerating ADC Development with Mass Spectrometry - Implementing High-Resolution Ion Mobility into Peptide Mapping Workflows Chromatogr...
View all digital editions
Events
Oct 10 2023 Hybrid event
Oct 15 2023 Katowice, Poland
Nov 05 2023 Vienna, Austria
Nov 12 2023 Louisville, KY, USA
Nov 13 2023 Plainsboro, NJ, USA