A visual representation of the chemical space of anti-MRSA peptides was constructed using a Treemap (TMAP). TMAP allows the visual representation of many chemical compounds through the distance between the clusters and the cluster's detailed structure through Local Sensitive Hashing (LSH) forest data structure, enabling c-approximate k-nearest neighbors (k-NN) . MAP4 fingerprints for peptides were encoded using the MinHash algorithm. The number of nearest neighbors, k = 50, and the factor used by the augmented query algorithm, kc = 10, were used to develop the TMAP graphs. The activity values were represented using a color scale from red (most active peptide; 6.69 pMIC 50 ) to blue (most inactive peptide; 3.89 pMIC 50 ).