As presented in these case studies, it is technically possible to make any cheminformatics tool accessible and noticeable from social networking services in the form of interfacing with Twitter bots. However, to make effective impressions on the scientific community and stimulate discussion, it is necessary to use appropriate hashtags that are widely prevailing and be tweeted by accounts with a large number of followers and strong influence. It would be helpful for scientists to follow accounts of mutual interest regularly and grow their follow/follower count appropriately. Tweets with high-impact and sensational content are likely to generate more impressions, but the information described in the tweet must have a certain level of accuracy. As with the sanitization of structural formulas , it is also beneficial for peers of scientists to ensure each other's scientific soundness on the SNS timeline. An attempt to socially share ideas for compounds has also emerged very recently in the fight against the pandemic coronaviral disease COVID-19 (e.g., the COVID Moonshot project ), which is an example of the trend toward open science in drug discovery. Looking ahead to applications in drug discovery, we also need widgets in which users can interactively view and discuss the interaction and activity of compounds with target proteins, which is a future challenge. As a semi-permanently maintained database infrastructure, Twitter has the potential to store an unlimited amount of chemical information.