AI Annotations Increase Patent Data In SureCheMBL

AI annotations added to the SureChEMBL database increase the depth of data made available to users

Drugs and chemical structures
AI annotations increase patent data in SureCheMBL. Credit: Karen Arnott/EMBL-EBI

Summary

  • AI-generated annotations integrated into SureChEMBL have broadened the range of information made available to its users.
  • The platform's integration with AI, developed through a collaboration with EMBL-EBI's Europe PMC team, advances the platform's interpretation of complex patent data.
  • Future developments, including an open API and expanded patent coverage, aim to enhance the accessibility and capabilities of the platform.

SureChEMBL is a tool for accessing and interpreting chemical and compound information extracted from text and images found within patent documents. Patents are a type of intellectual property that give their owners the legal right to exclude others from making, using, or selling an invention for a limited period of time.

SureChEMBL operates using an entirely automated framework, extracting and annotating chemical structures from patents. SureChEMBL also identifies biological proteins, targets, and diseases, and so adds layers of value to the raw patent data.

How is SureChEMBL used?

Discover and analyse chemical structures: SureChEMBL allows users to identify and analyse chemical structures mentioned in patents. This feature is crucial for researchers developing new drugs or looking to understand existing medications.

Intellectual property (IP) research: SureChEMBL serves as a resource for IP research, enabling users to track the patenting activities in specific therapeutic areas or for particular compounds. This information is vital for pharmaceutical companies, helping them make informed decisions about their research and development strategies.

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