SBIR/STTR Research Award

SBIR Phase II: High Speed Sequencing and Structure Analysis

Award identifier 0450e69114a4408a14b59c7ddbae9f13cd160a44a8bd6246d3e3ffbc9d88cd94Awarding agency National Science Foundation

Award amount

$462,352

Program and phase

SBIR · Phase II

Award year

2005

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
SYAGEN TECHNOLOGY INC
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

This Small Business Innovation Research (SBIR) Phase II project proposes to develop new methods for achieving high-speed sequencing and structure analysis of drug and biological molecules . The benefits of high-speed Molecular Sequencing (MSn) will be broadly applicable to end users through compatibility with ion trap MS instruments in general and specifically for the proposed QitTof MS (quadrupole ion - trap, time - of - flight mass spectrometry), which will provide the highest potential analysis speeds. The technical objectives for Phase II research are to (a) to develop high-speed MSn algorithms, (b) to optimize accurate mass neutral loss performance, (c) to develop CE / ESI (capillary electrophoresis / electrospray ionization) interface, and (d) to demonstrate CE / ESI / QitTof MS/MS for high-speed peptide sequencing. The final outcome of this Phase II work will be an instrument that will clearly achieve the highest speeds for peptide sequencing and overall protein identification. The commercial application of this project will be in the area of proteomics. The proteomics market is forecasted to grow from $ 0.7 billion to $ 5.8 billion over the next 5 years. There is a tremendous need to develop automated methods for the analysis of proteins and peptides linked to specific cells and tissues, in order to better understand global biological function for improved drug therapy and early detection of diseases such as cancer.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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