Decision-making in drug development often relies on the tacit knowledge of experienced medicinal chemists in the field , which renders it useful to gather a wide range of their views . In this context, we have been proposing using collective knowledge through social web as one of the trends in open science for drug discovery, which we call social drug discovery. In tasks such as prioritizing compounds or selecting the feasible 3D interaction structures in structure-based drug design process, we can harness the power of the crowd through means such as voting . The majority opinion of scientists can be a valuable source of information for drug discovery. Likewise, we can apply the wisdom of crowds to scrutinize computer-generated molecules.