Peptidic natural products (PNPs) and non ribosomal peptides (NRPs) are chemical compounds produced by living organisms. These peptides often exhibit interesting bioactivities. In this thesis I present a collection of innovative bioinformatic platforms dedicated to PNPs with the aim of facilitating the structural analysis of these compounds, especially for MS experiments. First, I introduce rBAN, a retro-biosynthesis tool mainly dedicated to the monomeric annotation of NRP chemical structures. Secondly, I present the KFP application, a straightforward program for NRP chemical formula detection and MS peak annotation, which implements a prediction method based on the Kendrick mass defect. Lastly, the thesis culminates with NRPro, a new platform for the MS/MS analysis of PNPs through automatic annotation and dereplication. These three tools were integrated in the Norine database, the only resource that is exclusively dedicated to NRPs.