A recent article published in Journal for Academic Emergency Medicine has shown that the GFAP protein is a reliable biomarker for traumatic brain injury (TBI), the most comon cause of injury and death in children en young adults. An accurate diagnosis of the level TBI is currently very difficult to make. An objective GFAP based test would increase the accuracy of diagnosis significantly.
Using the Euretos Analytics application for Biomarker Discovery, GFAP is suggested as the highest ranked predicted biomarker for TBI based on a combination of uniqueness of expression and predicted disease association. This groundbreaking ability to combine expression specificity with predictive analytics is unique to Euretos and this latest example is further proof of its value to researchers.
In order to assess the scientific evidence of the prediction, the researcher is provided with a very detailed analysis of the potential disease mechanisms. In this case, over 350 indirect biological interactions between the GFAP protein and TBI were found such as gene-gene, RNA expression, protein-protein, chemical and pathway interactions. These indirect interactions would be very difficult and time consuming to find, one by one, using traditional search approaches and they provide excellent angles for further research into this promising mechanism.
The Euretos Knowledge Platform connects over 7 million known phenotypic, genetic, proteomic, metabolic and chemical concepts in a single ultra-performance environment. All content is directly derived from scientific literature and databases with full references to sources. Apart from scope and performance, the Euretos Knowledge Platform is unique in providing the similarity, specificity and interaction strength of all its connections, even predicting their likelihood if not existing. This truly enables better answers to research questions. Faster.