With pressure on 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 molecular products has never been greater. The importance of IP intelligence in this process is well-established, but its usefulness and relevance are currently only leveraged at very specific stages and in limited ways. Increasingly, machine learning (ML) and AI are being used as part of the chemistry process to improve productivity from a chemical perspective, but what about its application in more fully understanding legal, licensing and commercial factors to guide R&D activities?

Assessing candidates through a ML-supported, data-rich IP intelligence lens can help find or design more commercially viable development candidates faster and enables more intelligent screening with deliberate focus and decision making - filtering out commercial non-starters earlier and “getting to no” faster. Through the ongoing, effective use of IP intelligence and Accencio®’s innovative visualization and analysis tools, well-positioned research candidates can be found more quickly and cost effectively. Leveraging IP intelligence requires the curation of chemistry patents, a complex task that is also time-consuming and error-prone when done manually. To make this process easier, ChemAxon, an expert in the development of cheminformatics software solutions, launched ChemCurator, an application for analyzing and extracting chemical information in patents and other documents. Built on ChemAxon’s leading chemical text mining technology, ChemCurator supports the computer-assisted curation of patents, as well as the extraction of all relevant information including exemplified molecules and Markush structures. As a result, we can run a deeper analysis on the IP landscape and get a better understanding of the freedom-to-operate chemical space.

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