Drug-Disease-Networks: Innovatives PubPharm-Recherchetool

Abstract

In the Specialised Information Service Pharmacy, the cooperation between the University Library and the Institute for Information Systems at Technische Universität Braunschweig results in innovative data retrieval services. Based on basic information technology research, prototypes are developed and evaluated by focus groups of the pharmaceucal research community. Upon successful prototype optimisation, services are implemented in the freely available search platform (). Recent artificial intelligence models (in detail neural networks) can automatically determine associations between pharmaceutical entities (i.e. clearly definable concepts such as active ingredients, diseases and genes) based on research literature. This research activity at the Institute for Information Systems resulted already in a web service for PubPharm: listing contextualised substances, diseases or genes when searching substances or diseases/symptoms. The Drug-Disease-Networks complement this suggestion function and visualise the partly complex entity relationships supporting their interpretation. Links to external data sources, e.g., Comparative Toxicogenomics Database and , provide further information.

Keywords

• pharmacy
• specialised information services
• pubpharm
• discovery system
• machine learning