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Computer-Assisted Strain Construction And Development Engineering (CASCADE)

Award Information
Agency: Department of Defense
Branch: Office for Chemical and Biological Defense
Contract: W911NF-07-C-0039
Agency Tracking Number: C061-107-0110
Amount: $749,381.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: CBD06-107
Solicitation Number: 2006.1
Solicitation Year: 2006
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-03-09
Award End Date (Contract End Date): 2008-03-09
Small Business Information
3375 Scott Blvd Suite 100
Santa Clara, CA 95054
United States
DUNS: 058044111
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Ying Zhao
 Chief Technology Officer
 (408) 980-0090
Business Contact
 Charles Zhou
Title: President and CEO
Phone: (408) 203-8325
Research Institution

This proposal is to respond Army CBD SBIR Phase II invitation for “Computer-Assisted Strain Construction and Development Engineering (CASCADE)”. Our approach is to apply a machine learning system together with publicly available data and private collaboration data for discovering the predictive relations between genomic fingerprints of an organism and its metabolic capabilities, and then use the relations to search for the best organisms to produce desired recombinant proteins or to be used in the applications utilizing the organisms’ metabolic novelty. In Phase II, we will refine and optimize the CASCADE approach from Phase I for the detection, selection, and engineering of such organisms of high value. Specifically, we will integrate the whole CASCADE process into a single screening service of easy-of-use. We will also enhance the system by incorporating more data from publicly available sources. We will collaborate with US Army labs and scientists to work on a couple of novel applications to test and validate the selected organisms through designed experiments. The enhanced genomic information, along with experimental and logic data will be fed into the integrated CASCADE screen service, and the results will be tested in the laboratories to see how well the computer models can assist strain selection, construction and development in real life.

* Information listed above is at the time of submission. *

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