CAMBRIDGE, Mass., Sept. 28 /PRNewswire/ -- Gene Network Sciences (GNS) today announced it has been awarded U.S. Patent No. 7,089,168, entitled “Language for Networks.” The patent covers a method of modeling biological systems using the diagrammatic cell language (DCL), making it possible for GNS researchers to model arbitrarily complex molecular interactions of a cell in a single diagram.
“Accurately modeling and simulating pathways ultimately enhances our network inference engine, and therefore our ability to infer a drug’s mechanism of action and discover biomarkers. This patent protects our method of mechanistic modeling of pathways and networks, and also strengthens our position in the inference of a drug’s effects on complex molecular pathways,” said Colin Hill, CEO of Gene Network Sciences.
The patent provides coverage for Gene Network Sciences’ formal language for describing the function of biochemical networks. The DCL includes a method of parsing, or understanding the language, which is a highly complex recursive algorithm. The notation is compact and modular, in the sense that complex interactions composed of many subparts may be annotated with the same symbols as the simplest interactions composed of individual molecules or genes.
This is the first patent issued to Gene Network Sciences. The company has six other patent applications under review.
About Gene Network Sciences
Founded in 2000, Gene Network Sciences ( www.gnsbiotech.com ) is a privately held biosimulation company with offices in Cambridge, Massachusetts, and Ithaca, New York. GNS technology rapidly turns complex and heterogeneous data sets into cell and organ-level computer models able to simulate the clinical performance of drugs and drug candidates. By discovering how and why specific drug candidates impact human biology, GNS technology increases the confidence in moving drug candidates forward and ultimately improves clinical trial success rates.
For additional information: A paper with further description and visuals of the diagrammatic cell language can be found at http://www.gnsbiotech.com/papers/dac.pdf .
Gene Network Sciences
CONTACT: Debbie Pfeifer of Gene Network Sciences, +1-206-282-5098, ordebbie@gnsbiotech.com
Web site: http://gnsbiotech.com//
