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Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:GEORGIA TECH RESEARCH CORPORATION
PD/PI:
  • Corey J Wilson
  • corey.wilson@chbe.gatech.edu
Co-PD(s)/co-PI(s):
  • Fumin Zhang
  • Matthew J Realff
Award Date:09/16/2019
Estimated Total Award Amount: $ 3,645,587
Funds Obligated to Date: $ 1,242,524
  • FY 2019=$1,242,524
Start Date:10/01/2019
End Date:09/30/2024
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.083
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:GCR: Biomolecular Systems Engineering - Unlocking the Potential of Biological Programming
Federal Award ID Number:1934836
DUNS ID:097394084
Parent DUNS ID:097394084
Program:GCR-Growing Convergence Resear
Program Officer:
  • Dragana Brzakovic
  • (703) 292-8040
  • dbrzakov@nsf.gov

Awardee Location

Street:Office of Sponsored Programs
City:Atlanta
State:GA
ZIP:30332-0420
County:Atlanta
Country:US
Awardee Cong. District:05

Primary Place of Performance

Organization Name:Georgia Institute of Technology
Street:225 North Avenue, NW
City:Atlanta
State:GA
ZIP:30332-0002
County:Atlanta
Country:US
Cong. District:05

Abstract at Time of Award

This Growing Convergence Research project aims at development of the emerging field of Biomolecular Systems Engineering. To accomplish this goal the team incorporates expertise from synthetic biology, protein engineering, process design, control theory and circuit design. The convergence of these disciplines will facilitate a radically new approach toward biological programming and the tools to accomplish these goals. The focus of the proposed work is to overcome reproducibility issues currently associated with the field of biological engineering by systemic organization and development of: i) engineering workflows, ii) process design tools, iii) curation and validation of standardized parts and iv), undergraduate and graduate pedagogy to advance the field of biological engineering. Successful completion of the proposed work will result in the creation of systematic workflows for the production and reporting of standardized biological unit operations and a new biological design software framework that will enable the production of scalable transcriptional programs, memory structures, and control systems for a variety of biological chassis. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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