Unlocking Hidden Treasures: LC–MS/MS Molecular Networks for Exploring Novel Passiflora Species with Pharmaceutical Potential
Year: 2024
Type: article
Abstract: In this study, we report the metabolic profiling of several previously uncharacterized Passiflora species native to Brazil, employing molecular networks to delve deeper into chemical constituents. Using the GNPS platform, in silico tools, and substructure annotation techniques, we expanded the chemical annotations. Principal Coordinate Analysis (PCoA) revealed significant metabolic similarities between several species, including P. incarnata, suggesting shared pharmacological potential. Our identification of metabolic compounds facilitated comparisons between understudied species with medicinal properties. Notably, we documented 25 previously uncharacterized species, paving the way for the development of novel products aimed at improving human well-being. This research focused on several native Passiflora species from Brazil, highlighting their unexplored therapeutic potential.
Source: Chemistry & Biodiversity
Authors: Laryana Borges Garcia, Yolanda Trindade de Oliveira, Paulinne Moreira Lima, Catarina Silva Guimarães, Teonildes Sacramento Nunes, Danielle Rocha Pinho, Norberto Peporine Lopes, Gabriel Azevedo de Brito Damasceno, Angelica Ferraz Gomes, Juliano Geraldo Amaral
Language: English
Subfield: Plant Science
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4401536113