To estimate the important amino acids for the inhibition of MATE1 activity, we calculated the Structural Interaction Fingerprints (SIFt) between the ligands and MATE1 using the Interaction Fingerprints in Maestro (Schrodinger Suite 2021-2) . The interaction patterns between the protein and the inhibits and non-inhibitors were compared. We drew a Venn-diagram for the number of interacted amino-acids against inhibitors and non-inhibitors using the matplotlib_venn (versions 0.11.10) venn2 function. We picked the amino-acids which interacted with inhibitors more than 10 times, then we calculated the ratio of the number of interactions with amino-acids among inhibitors vs non-inhibitors.