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Entelos and ISB Announce Collaborative Gene Expression Breakthrough

Entelos Holding Corp. (“Entelos” or “the Company”), a premier provider of physiologicalsystemmodeling and services, and Seattle-based Institute for System Biology (ISB), the nonprofit pioneers of the systems approach to study the molecular causes of diseases, today announced the successful integration of gene expression data into quantitative physiological simulations. This proprietary capability improves understanding of the gene expression and disease outcomes to radically improve the predictive discernment of the complex nature of disease, yielding insights into novel therapeutic targets, biomarkers, and patient selection that should support a new era of precision medicine.

Entelos and ISB worked together to define a scientifically sound and scalable methodology to provide breakthrough capabilities for both the modeling and systems pharmacology communities. It addresses business-critical problems in both pharmaceutical research and healthcare. “This workflow is transformative for understanding the role of molecular interactions and their impact on pharmaceutical R&D and healthcare decision making,” stated Entelos Founder and CTO, Tom Paterson. “By utilizing our computer models, we are able to use all identified correlations across gene network studies to decipher genetic influence on the disruptions identified as disease. As an example, the new capabilities were able to help us clearly define from a pool of 51 potential biomarkers, and which biomarkers identified non-responders and responders for anti-IL1 therapies for rheumatoid arthritis.”

“The mapping and application of clinical gene expression data sets a new standard and role for quantitative physiological modeling within the drug discovery and development process,” stated Entelos President and CEO, Shawn O’Connor. “It’s only due to the unique depth and breadth of the Entelos quantitative physiological models that these sorts of mappings and analyses can be carried out across the entire pathophysiology of a disease. This is the beginning of truly understanding and leveraging the human genome for therapeutic success”

“As the interconnected features of the disease space become increasingly more visible, we are continuing to look for new ways to decipher the elaborate data that hides therapeutic success“ said Dr. Lee Hood, co-founder and president of Institute for Systems Biology and recipient of the National Medal of Science. “This approach represents a breakthrough capability for deriving insights from those data sets.”

This demonstrated convergence of top-down functional systems biology and bottom-up molecular systems biology provides an approach for using clinical gene expression data to investigate a wide diversity of diseases, to decipher disease complexity, and to understand variability and reduce uncertainty in populations and sub populations. Entelos and ISB are now seeking commercial partners to advance additional existing disease models (Atherosclerosis, Type 2 Diabetes, Hypertension, Rheumatoid Arthritis, etc.) and generate new in silico applications.

Source: Entelos

The Foundation for the NIH Biomarkers Consortium Launches A Multi-Stakeholder Atherosclerosis Modeling Project

The Foundation for the National Institutes of Health (FNIH) Biomarkers Consortium announces that it is launching a two-year effort to use computer modeling to better understand heart disease and the potential effectiveness of medicines used to treat it. The project will integrate large amounts of available information on different measures (or “biomarkers”) of atherosclerosis.