Software for Design and Validation of DNA Nanostructure Surface Patterning

Award Information
Agency: Department of Defense
Branch: Office for Chemical and Biological Defense
Contract: W911SR-13-C-0019
Agency Tracking Number: C122-103-0093
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2012
Solitcitation Year: 2012
Solitcitation Topic Code: CBD12-103
Solitcitation Number: 2012.2
Small Business Information
Celadon Laboratories, Inc.
6525 Belcrest Rd. Suite 521, Hyattsville, MD, -
Duns: 788153166
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Raymond Peterson
 Chief Scientific Officer
 (301) 683-2118
 peterson@celadonlabs.com
Business Contact
 Lawrence Kessner
Title: Chief Executive Officer
Phone: (301) 683-2117
Email: lkessner@celadonlabs.com
Research Institution
 Stub
Abstract
A continuing threat to U.S. military personnel and civilians is exposure to toxic chemicals and pathogens. While there exist methods and systems for vaccine development, agent detection, and assessment of exposure and immune response, it remains imperative to investigate next-generation technologies that have the potential to improve by an order of magnitude their cost, sensitivity, specificity, and speed. A promising technology is the self-assembly of charge-patterned DNA nanostructures on a flat surface. In order for patterned DNA nanostructures to become commercially viable, the technology needs investigation of the thermodynamics of self-assembly, both with and without charged pendants; development of predictive algorithms that take into account pendant thermodynamics and modified nucleic acids; and automated design software. Towards this end, Celadon will partner with Dr. Jason Kahn and Dr. David H. Mathews, both internationally recognized experts in nucleic acid chemistry and computation. During Phase I, the Celadon/Kahn/Mathews team will assemble origami surface with patterned hydrophilic and hydrophobic patches on ~5 nm scale; confirm with atomic force microscopy and fluorescence; conduct temperature-dependence studies and develop thermodynamic algorithms to predict assembly in presence of pendant groups; construct Phase II plan to develop predictive algorithm and software; and demonstrate prototype browser-based and Cloud-enabled user interface.

* information listed above is at the time of submission.

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