To enhance the accuracy of NP dereplication , the spectral similarity networking approach allows the organization of spectral MS 2 data through molecular networking (MN). In the MN, each node corresponds to a feature (specific mass-to-charge ratio (m/z) value observed at a given retention time (RT)), and the edges between nodes are drawn based on the similarity of their MS 2 profiles. The MN approach is useful to analyze and visualize relationships between features in the samples , and can be easily performed on the Global Natural Product Social Molecular Networking platform (GNPS) . This approach involves the comparison of experimental spectra provided by the scientific community within the GNPS platform. This comparison of experimental MS 2 with those in the DB is facilitated by spectral scoring algorithms, generating a matching score that reflects the similarity between a query MS spectrum and a metabolite's MS 2 spectrum within the DB . However, caution is required as this information is highly instrument-dependent (e.g. LC conditions, ionization type, MS acquisition mode, collision energy, among others) .