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GT Life Sciences Broadens Intellectual Property Portfolio with Issuance of U.S. Patent on Core Computational Systems and Methods for Genomic-based Metabolic Modeling
Date:5/12/2011

SAN DIEGO, May 12, 2011 /PRNewswire/ -- GT Life Sciences, Inc., (GT) a privately held biotechnology company announced today the issuance of Patent No. 7,856,317 for "SYSTEMS AND METHODS FOR CONSTRUCTING GENOMIC-BASED PHENOTYPIC MODELS" by the United States Patent and Trademark Office.  The '317 patent has a priority date of June 14, 2002 and contains broad, novel claims to computer systems and complex modeling processes by which scientists may use computational models to create scalable models to reconstruct biological networks and simulate biochemical functions.  GT holds an exclusive license to the '317 patent in the commercial life sciences field.

The '317 patent discloses and covers computational methods for constructing, simulating, and predicting the activity of metabolic network models where genes are linked to reactions.  Its claims cover systems and methods to create computational models of organisms for which genome-scale information is just now becoming available as well as to scale-up existing models to which new and additional genomic information can be added.  By using the inventions claimed in the '317 patent, scientists may significantly increase drug target identification and safety prediction in the drug discovery process, resulting in faster development of new drug therapies at greatly reduced cost.  

GT's intellectual property portfolio includes over 50 patents and patent applications, including portfolios licensed from Genomatica, the University of California and Penn State University. The issued and pending claims within GT's patent portfolio include constraint-based models as well as other modeling platforms focused on biological systems where genes, reactions and omics data can be represented, studied, and analyzed in an iterative process to enable and accelerate biological discovery. This intellectual property is at the heart of products derived from using genome-scale network reconstruction and mode
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SOURCE GT Life Sciences, Inc.
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