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High Throughput, Label-Fee Molecular Interaction Platform for Membrane Protein

Award Information
Agency: Department of Health and Human Services
Branch: N/A
Contract: 2R44GM093762-02
Agency Tracking Number: R44GM093762
Amount: $2,289,228.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: NIGMS
Solicitation Number: N/A
Solicitation Year: 2011
Award Year: 2011
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
111 10th Ave South, Suite 110, Nashville, TN, 37203-
DUNS: 802047287
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 (408) 335-1379
Business Contact
Phone: (650) 728-8111
Research Institution
DESCRIPTION (provided by applicant): Molecular interactions form the basis of healthy metabolism as well as the manifestation of disease, and comprise the very foundation of drug treatment. Tools available to study molecular interactions in their nascent environment and physiological concentrations without chemical modification, such as surface immobilization or labeling, are limited. Current label-free technologies cannot perform homogeneous (free solution) measurements of membrane protein target interactions. Membrane proteins, which make up about 1/3 of the human proteome, interact with a wide range of biologically relevant species. A specific class of membrane proteins known as G-protein coupled receptors (GPCR) is of particular interest, as they represent the principle drug target for about 40% of all prescription pharmaceuticals and over half of the top one hundred best selling drugs. Currently, there does not exist a practical label-free means to study GPCR - lead interactions as they proceed in their native environment. Consequently, label-free approaches significantly under-serve a major drug discovery need, and as such, there exists a profound requirement for a label-free technique to support research demands in the all important GPCR and membrane protein fields. Molecular Sensing Inc.'s (MSI) Phase II SBIR proposal entitled, High Throughput, Label-free Molecular Interaction Platform for Membrane Protein Targets, leverages the achievements of our Phase I program and is directed towards producing a robust Back-Scattering Interferometry (BSI) instrument for use in drug research. In addition to refining the platform, under Phase II we will demonstrate the unique strengths and capabilities of BSI to significantly advance progress in the all important area of membrane protein drug research by capitalizing on collaborations with three world-class research environments: The Groves Laboratory at the University of California at Berkeley, the Finn Laboratory of Scripps Research Institute, and the Bornhop Laboratory at Vanderbilt University. The culmination of our Phase II program will result in the creation of a prototype research product, which the company will sell to its early access customers in translational and pharmaceutical research markets. Phase III activities will complete the product development process, making this powerful new tool accessible to laboratories worldwide. As our initial market experience of Phase I technology has taught, our commercial product will create a sustained impact to basic, translational, and drug discovery research that will positively influence healthcare through the accelerated release and development of new and powerful therapeutics and diagnostics, consistent with the mission of the National Institutes of Health. PUBLIC HEALTH RELEVANCE: High Throughput, Label-Fee Molecular Interaction Platform for Membrane Protein Targets Drugs directed against cell membrane targets comprise one of the most important classes of therapeutics and focused pharmaceutical research. Tools available to support this research lack enabling capabilities, and are a barrier to progress. Our program will result in the creation of a novel research platform that will exert a substantial and powerful impact to advance progress in membrane target drug research, yielding new and improved therapeutics that will positively impact the treatment of disease, improving healthcare while reducing its cost.

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

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