Origami Antibodies for Threat Sensing

Award Information
Agency:
Department of Defense
Amount:
$100,000.00
Program:
STTR
Contract:
W911NF-11-C-0269
Solitcitation Year:
2011
Solicitation Number:
2011.A
Branch:
Army
Award Year:
2011
Phase:
Phase I
Agency Tracking Number:
A11A-021-0220
Solicitation Topic Code:
A11a-T021
Small Business Information
Parabon NanoLabs, Inc.
11260 Roger Bacon Drive, Suite 406, Reston, VA, -
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
828881305
Principal Investigator
 Michael Norton
 Professor
 (304) 696-6627
 norton@marshall.edu
Business Contact
 Paula Gawthorp-Armentrout
Title: Corporate Secretary
Phone: (703) 689-9689
Email: paula@parabon.com
Research Institution
 Marshall University
 John M PhD
 401 11th Street
Suite 1400
Huntington, WV, 25701-
 (304) 696-3468
 Nonprofit college or university
Abstract
Beginning from an advanced stage of development, this Phase I STTR project will produce designs and prototypes for a ricin-specific artificial antibody constructed using DNA origami. These novel constructs will provide both a capture function (mimicking the properties of an antibody) and intrinsic electro-optical reporting functionality, a significant improvement over current antibody capability. Accordingly, they will prove a compelling substitute for antibodies in a wide variety of applications, beginning with ELISA-like field tests for threat sensing, but generalizable to all current antibody applications. Phase I includes two experimental thrusts. The first involves the design and characterization of constructs that demonstrate control of important physical properties, including size, shape, charge and relative hydrophobicity; the second is the development and demonstration of a synthetic construct to capture and report optically the threat agent ricin. These efforts will lead to specifications for enhancements to Parabons existing origami design automation software, specifically for the creation of artificial antibodies. Such enhancements are essential for computing optimal placement of capture and response elements, and displaying surface charge and relative hydrophobicity profiles. Phase II objectives will include development of artificial antibodies with more complex electro-optical reporting mechanisms and implementation of the software specifications developed in Phase I.

* information listed above is at the time of submission.

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