19^TH January 2010 Cambridge, UK – BioWisdom. a provider of specialist medical metadata and Intelligence Solutions for Healthcare, is pleased to announce the publication of an exciting new paper in Chem. Res. Toxicol. Using metadata derived from BioWisdom’s Safety Intelligence Program, Alex Tropsha and colleagues at the University of North Carolina have applied QSAR modelling and other chemoinformatics techniques to qualitative assertions abstracted from legacy data.

BioWisdom’s Safety Intelligence Programme (“SIP”) is a unique on-line knowledgebase constructed through large scale meta-analysis of toxicology-related assertions made in databases and documents.  The meta-analysis translates highly variable “legacy” language used in free text into a consistent form which enables the clustering and visualization of disparate data to determine the toxicological risks associated with drugs and other agents.  By providing comprehensive intelligence around compounds causing adverse effects in biological systems, SIP enables a greater understanding of the mechanistic relationships that result in drug-induced pathologies.

“As we continue to process the scientific literature, we increase the coverage across species and biological systems.  The SIP knowledgebase is particularly rich in hepatic and cardiovascular intelligence and is providing real guidance to R&D professionals in avoiding injury to these organs.  Until now, running a background check on the potential cardiovascular or hepatic risk of a proposed chemical variant was impossible.  Now it’s a reality” said Gordon Smith Baxter, CEO.

SIP continues to attract new subscribers and currently encompasses over 1.3 million safety related observations made in scientific and regulatory documents covering over 25,000 compounds,  4,900 proteins and 16 species.

Gordon Smith Baxter added “ We are also pleased that the approach we use, which involves the use of extensive key concept metadata (e.g. drug, process and anatomy terms) to identify and record the assertions made in data, is gaining wider acceptance in the integration of proprietary, internal data.  The process of contemporizing this valuable legacy data is incredibly exciting and we believe could significantly reduce the requirement for and cost of wet lab experiments”.

Tags: Cardiac Toxicity, Hepatic Injury, Safety Intelligence

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