Computer-Assisted Strain Construction And Development Engineering (CASCADE)

Award Information
Agency: Department of Defense
Branch: Office for Chemical and Biological Defense
Contract: W911NF-06-C-0059
Agency Tracking Number: C061-107-0045
Amount: $69,010.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: CBD06-107
Solicitation Number: 2006.1
Timeline
Solicitation Year: 2006
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-06-01
Award End Date (Contract End Date): 2006-12-01
Small Business Information
5405 Morehouse Drive, San Diego, CA, 92121
DUNS: 071401090
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Tom Fahland
 (858) 362-8557
 tfahland@genomatica.com
Business Contact
 Christophe Schilling
Phone: (858) 362-8550
Email: cschilling@genomatica.com
Research Institution
N/A
Abstract
The recent advances of modern high-throughput genomic technologies have resulted in a large number of fully sequenced microbial organisms. The construction of these comprehensive metabolic models serves many purposes including encapsulating all the data and allowing for in silco experiments to be performed that can drive experimental work and aid in strain development and optimization. The creation of a full metabolic reconstruction requires a significant amount of manual work; an automated procedure for rapidly developing metabolic models would be extremely valuable for the biotechnology field. We intend to develop a fully automated procedure for creating the metabolic reconstruction based on sequence data analysis and develop an automated analysis to determine growth and substrate utilization and protein production capability. The combination of automating the sequenced based metabolic reconstruction and downstream analysis of chemical production capabilities will rapidly produce fully functioning metabolic models with predictive power. These models will significantly increase productivity and decrease the time and effort required for strain design and aid in bioprocessing and chemical production.

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

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