SBIR/STTR Research Award

SBIR Phase I: Machine Learning Software for Viral Sequence Analysis and Diagnostics

Award identifier 3c3ee35c8a2f4127f9c88e085df686fc38cff05ded13d93780edc4cd68c331d6Awarding agency National Science Foundation

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2006

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
NATURAL SELECTION, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
WCFETEM79F29
Solicitation number
NSF 05-605
Topic code
BT

Research abstract

This Small Business Innovative Research (SBIR) Phase I project focuses on developing computational intelligence tools for viral sequence analysis. In contrast to current modeling approaches, the proposed software tool will result in an easily interpreted best model that can be used to better understand the relationship between sequence variations and phenotypic behavior and or response. The research will result in a user friendly software tool that will allow for better predictability of the effect of viral mutations on infectivity, efficacy of the virus as well as aid in the development of antivirals and effect of treatments. This has broad application in viral research and pharmaceutical design.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

23 SBIR/STTR records share this UEI (1998–2007). Reported award amounts total $5,774,568. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Science Foundation, Department of Health and Human Services

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

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