Keynote Lecture "Strategies to prioritize the discovery of bioactive natural products - Chemical space exploration based on massive multi-informative metabolite networks"

The increasing amount of accurate metabolome data that can be acquired through high resolution mass spectrometry data dependent MS/MS analyses (HRMS/MS), allows mapping of natural extracts at an unprecedented precision level [1]. This potentially allows the construction of virtual chemical libraries based on the combined annotation data set generated from raw extracts for efficient prioritization of valuable NPs for drug discovery, compositional assessment of phytopreparations or correlation in eco-metabolomic or chemotaxonomic studies.