With pressure on medicinal chemists to reduce the cost, time and risks of development, the need for technology-based tools which can support and improve the efficiency of designing and synthesizing drug candidates has never been greater. Machine learning and AI are being increasingly leveraged as part of the medicinal chemistry process to improve productivity from a chemical perspective, but what about understanding the legal, licensing and commercial aspects to guide R&D activities? Assessing candidates through a data-rich IP intelligence lens can help find or design more commercially viable development candidates faster, through better screening, earlier focus and decision making - filtering out commercial non-starters earlier and “getting to no” faster. Through the ongoing, effective use of IP intelligence well-positioned research candidates can be found more quickly and cost effectively

See IP differently: using visualized intellectual property intelligence to guide your R&D, licensing, and patenting strategies

Macromolecular Chemistry: The Second Century

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ACS Spring 2020 National Meeting & Expo

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.