The amount of information in chemical and biological space grows exponentially thanks to the technological advances and the leap in research funding. However, due to the complexity of the data in pharmaceutical research, our understanding of how drug molecules affect biological processes has not yet been fundamentally changed by the explosion in the volume of experimental data, which is reflected in the small number of new molecular entities approved by the regulatory authorities in recent years. It is an urgent task to harness the full potential of the information by organically integrating data from internal and external resources in chemical and biological universes.  Recently, we described Advanced Biological and Chemical Discovery (ABCD), an integrated information platform based on a data warehouse strategy. It provides scientists with a unifying framework for accessing vast amounts of discovery knowledge collected at Johnson & Johnson Pharmaceutical Research & Development (J&JPRD). Here we present a further attempt of seamlessly integrating the internal and public data in chemical and biological universes. The resulting prototype system allows the simultaneous mining of the public and private data spanning the chemical, biological, genomic, and pharmacological aspects of genes, protein targets, diseases, and small molecules, which could greatly facilitate the target prioritization, lead identification and optimization, drug repurposing, and even the strategic portfolio design for long-term sustainable enterprise development.

How internal data marries public information in chemical and biological
universes in drug discovery

240th National Meeting (2010)

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.

How internal data marries public information in chemical and biological universes in drug discovery