Secondary
metabolites from natural sources are promising starting
points for discovering and developing drug prototypes and new drugs,
as many current treatments for numerous diseases are directly or indirectly
related to such compounds. Recent advances in bioinformatics tools
and molecular networking methods have made it possible to identify
novel bioactive compounds. In this study, a workflow combining network-based
methods for identifying bioactive compounds found in natural products
was streamlined by innovating an automated bioinformatics software.
The workflow relies on Global Natural Product Social Molecular Networking
(GNPS), a web-based mass spectrometry ecosystem that aims to be an
open-access knowledge base for community-wide organization and sharing
of raw, processed, or annotated fragmentation mass spectrometry data.
By combining computational tools including MZmine2, GNPS, and Cytoscape,
the integrated dashboard quickly creates bioactive molecular networks
with minimal user intervention and reduces the processing time of
the original workflow by over 80%. This newly automated workflow quickens
the process of discovering bioactive compounds from natural products.
This study uses extracts from Psidium guajava leaves
to demonstrate the application of our automated software.