2023
DOI: 10.21577/0103-5053.20230016
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Fitting Structure-Data Files (.SDF) Libraries to Progenesis QI Identification Searches

Abstract: Progenesis QI (PQI) is a multiplatform bioinformatics tool that facilitates the identification workflow for metabolomics experiments. PQI uses fragmentation data provided by MassBank of North America (MoNA) libraries, among others, for metabolite annotation. However, PQI does not officially support MoNA libraries and other libraries based on structure-data files (.sdf). This paper describes the development and application of a software named MoNA to Progenesis QI Library Converter, allowing PQI and MoNA by cor… Show more

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Cited by 4 publications
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“…Fragmentation profile, mass accuracy, mass error, and isotope similarity were evaluated to accept the annotated molecules. To allow the compatibility of Progenesis PQI data and external SDF-based spectra libraries, we used an in-house software named “SDF2PQI” to increase the number of fragment matches [ 28 ]. SDF2PQI was recently detailed elsewhere and is available free of charge.…”
Section: Methodsmentioning
confidence: 99%
“…Fragmentation profile, mass accuracy, mass error, and isotope similarity were evaluated to accept the annotated molecules. To allow the compatibility of Progenesis PQI data and external SDF-based spectra libraries, we used an in-house software named “SDF2PQI” to increase the number of fragment matches [ 28 ]. SDF2PQI was recently detailed elsewhere and is available free of charge.…”
Section: Methodsmentioning
confidence: 99%
“…For each mass spectrometer, the scanning frequency was 0.2 s. Peak extraction and alignment were performed using Progenesis QI software (v3.0) with raw data collected by MassLynx v4.2. Peak identification was based on the online METLIN database attached to the Progenesis QI software (v3.0) and BioMarker’s self-built database [ 28 ]. In a mass spectrometry (MS) system, molecular cleavage patterns follow certain rules and contain valuable information about the chemical structures.…”
Section: Methodsmentioning
confidence: 99%