Abstract

Reaxys and Reaxys Medicinal Chemistry are well renowned for
their sophisticated data structure, which formed the basis of the UDM (Unified
Data Model) published by Pistoia, and their rich and detailed experimental
chemistry content sourced from journal articles and patents. This presentation
will discuss how Reaxys and Reaxys Medicinal Chemistry are being built and how
chemists in industry and academia access the system and use the data for their
daily research with a focus on drug discovery. Furthermore, it will highlight
the upcoming developments which bring together advanced analytics, artificial
intelligence and machine learning based on a foundation of curated, normalized
and structured data to accelerate drug discovery.