Award Data

Current drug discovery and development programs are severely limited by the expensive animal trials and oversimplified in vitro models. Results obtained from the in vitro models are not predictive of in vivo toxicity owing to significant difference in testing from the in vivo physiological conditions. In this context, we propose to develop and demonstrate a novel microfluidic device for quantitati ...

The goal of this project is to investigate the feasability of a unique sampling method that will lead to the development of a reagentless infrared (IR) based BW agent detection system. The current JPBDS uses lateral flow immunoassay technology as the final step in detecting bioagents, and has a detection limit of 10^5 spores/ml[ref 1]. Preliminary data from our infrared approach indicates a mini ...

To properly measure (and understand) the performance of a standoff detector, properties of the challenge cloud must be known. Meteorological models, such as HPAC and VLSTRACK, have proven to be reasonably good tools for predicting cloud properties. However, a problem with these tools is that they deliver ensemble averages and may not describe a specific cloud to the detail required. The Dugway ...

The primary objective of this effort is to design and develop a database management system (DBMS) and enable the integrated interpretation of the vast amounts of genomic and proteomic data in proper biological context. This DBMS will enable the development of diagnostic assays for human exposure to specific biological threat agents using an existing suite of systems biology tools. The DBMS design ...

Molecular biology techniques allow generating combinatorial libraries of large number of enzyme variants. However, there is currently no technology available for screening the enzyme libraries for identifying variants with improved activity for the substrate. We propose to develop a novel, microfluidic, high-throughput platform for determining kinetic constants of enzyme variants and identifying v ...