Unlike scientific literature, which answers questions based on experimental evidence, patents claim solutions to problems based partly on experimentation and partly on predictions of what should work.  Markush chemical structures are a prime example.  They can predict and disclose astronomical numbers of structures which may have some application, although in practice only a few of the predicted structures may have the desired activity.  This talk will summarize some new tools available for Markush searching, and show how the results of Markush searching can be used to identify the best leads in a patent.

Case studies in Markush searching: Using Markush structures in patents for chemical property description

244th National Meeting (2012)

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