Mass spectrometry is a technique used to identify compounds in undirected metabolomics  experiments. Due to the reference spectra absence, most molecules cannot be identified and many spectra cannot be used. In this context, the MolNetEnhacer (https://ccms- ucsd.github.io/GNPSDocumentation/molnetenhancer/), a method that was implemented on the GNPS platform (http://gnps.ucsd.edu), to accelerate the chemical structural annotation in complex
matrix combining mass spectral molecular networks, fragmentation patterns and in silico annotations, providing a more comprehensive chemical overview of spectral data. This tool allows analysing the chemical classes and subclasses in the molecular networking. Based on the predominant chemical classes present in a plant extract, significantly increases the ability to provide explanations for the matrix biological behaviour, as well as assessing whether molecular families are of particular interest for the research objective. Therefore, in this work, the MolNetEnhacer tool was employed to track and identify the chemical classes contained in Trichoderma spirale (Ts) ethyl acetate extract, which has biological potential already described in the literature as bioherbicide, antioxidant, antimicrobial, antifungal, antibactericide, antitumor and larvicide using LC/Q-TOF-MS/MS and the GNPS platform (http://gnps.ucsd.edu). There were identified 111 compounds of 14 chemical classes in the network using MolNetEnhancer, where molecular families are mainly described as azoles, benzene and derivatives, carboxylic acids and derivatives, cinnamic acids and derivatives, diazines, fatty acids, flavonoids, oxanes, pirans, phenolic ethers, prenol lipids, pyrimidine nucleosides, organooxygen compounds, steroids and derivatives.