Figures and show the visual representation of the chemical multiverse of LANaPDB generated with tdistributed stochastic neighbor embedding (t-SNE) and tree MAP (TMAP) and two fingerprints of different design: MACCS keys (166-bits) (Figure and Figure ) and MAP4 (Figure and Figure ). As discussed recently, the chemical multiverse can be defined as a group of chemical spaces, each generated with a diverse set of descriptors . A chemical multiverse is a natural extension of the concept of chemical space and its advantage is that it provides a more complete description of the chemical space of a set of compounds as opposed to using only one representation. Based on the visual representation of the chemical multiverse it is concluded that t-SNE has a better performance with MACCS keys (166-bits) fingerprint over MAP4 fingerprint, separating the NPs on clusters according to the structural features (Figure ). The efficacy of TMAP to separate compounds in clusters from MACCS keys (166-bits) and MAP4 fingerprints is similar