“…This may be because molecular recognition is defined by multiple cooperative non-covalent interactions within the π-pocket. 9 Herein, we propose a new cage-shaped borate catalyst showing improved selectivity for aromatic compounds through the support of machine learning (ML). Recent advances in ML applications to organic synthetic chemistry [13][14][15][16][17] have significantly contributed to the predictions of yields and selectivity, 13,18 sequential searches for optimal reaction conditions, [19][20][21] and reverse structure searches for catalysts, ligands, or transient states, 14,15,[22][23][24] design of asymmetric catalysts, [25][26][27][28][29][30][31][32][33] predictions of site-selectivity for C-H functionalization catalyzed by a pocket-shaped Rh complex, 34 and estimations of the substrate specificity of enzymes.…”