False positives of the GLP-1 compound using both the MaM and MiM algorithms.

False positives of the GLP-1 compound using both the MaM and MiM algorithms.

<p>It is noteworthy that the number obtained with the MiM algorithm is significantly higher.</p>

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Bibliographic Details
Main Author:	Paula Cifuentes (22050278) (author)
Other Authors:	Ismael Zamora (2385154) (author), Tatiana Radchenko (4559779) (author), Fabien Fontaine (75372) (author), Albert Garriga (22050281) (author), Luca Morettoni (4559788) (author), Jesper Kammersgaard Christensen (22050284) (author), Hans Helleberg (12980035) (author), Bridget A. Becker (2412181) (author)
Published:	2025
Subjects:	Biochemistry Cancer Biological Sciences not elsewhere classified Information Systems not elsewhere classified significant challenges persist molecular weight range enables clear localization distinct fragmentation strategies associated computational demands 700 &# 8211 automated liquid chromatography instilling greater confidence improved various stages exploring metabolic susceptibility enhanced visualization capabilities small molecules metid resolution mass spectrometry data analysis applicable advancing automated metid macromolecules using high level ), non data analysis automated software visualization algorithm various experimental metabolic biotransformations level ), greater number monoisotopic mass abundant mass xlink "> unnatural monomers structural complexity previous studies peptides ). metabolite structures metabolite identification macromolecules due ionization conditions hybrid mode drug metabolism drug development degradation products cyclic peptides consistent detection comprising linear comprehensive understanding compound procurement commonly used bond notation accurate prediction 970 metabolites 7630 da
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