Machine Learning Accelerates Screening of Osteoclast Differentiation Inhibitors from Natural Products.

Natural products that inhibit osteoclast differentiation are promising therapeutic and preventive agents for osteoporosis. Conventionally, identifying osteoclast differentiation involves visual inspection of the microscope images of stained osteoclasts. In this study, a supervised machine learning model was developed to classify bright-field microscope images of osteoclasts without staining.

Divergent Total Syntheses of Hetero-Oligomeric Iridoid Glycosides.

Divergent total syntheses of the hetero-oligomeric iridoid glycosides mainly found in were achieved. Thus, loganin (), which is important as a monomer unit, was efficiently synthesized by stereoselective reductive cyclization using secologanin () as a substrate. Sequential condensation reactions of derivatives of and as monomer units led to the first enantioselective total syntheses of the heterooligomers cantleyoside, ()-aldosecologanin, dipsaperine, (3, 5)-5-carboxyvincosidic acid 22-loganin ester, and dipsanoside A.