PANMRA-24-P-0000_005879 AI for Infectious Disease Threats
Closed Pre-Solicitation Posted
Not the latest version. See the latest special notice from .
- Solicitation number
- PANMRA-24-P-0000_005879
- Agency
-
Defense Health Agency
Department of Defense
- Responses due
- Set-aside
- No set-aside
Opportunity facts
- NAICS code
- 541714 Research and Development in Biotechnology (except Nanobiotechnology)
- Place of performance
- Silver Spring, Maryland 20910, United States
Notice details come from SAM.gov. Updated .
About this opportunity
The Defense Health Agency is seeking to establish an Indefinite Delivery Indefinite Quantity (IDIQ) contract for Artificial Intelligence (AI)/Machine-Learning (ML) services to support in silico screening of candidate drug compounds against known targets of infectious disease threats. The contractor will utilize ML decision tree algorithms to screen millions of approved and novel compounds, identify drug-like ligands, and evaluate them for potency, toxicity, off-target effects, and metabolic liabilities. The government will provide the targets, and the contractor will deliver monthly progress reports and a final assessment. Interested parties must submit a 3-page capabilities statement by 10:00AM ET on September 16, 2024.
This opportunity is not set-aside and does not name any potential incumbents or current contractors. The contract has a 1-year period of performance starting in February 2025, but no award value or budget range is specified. The North American Industry Classification System (NAICS) code is 541714 - Research and Development in Biotechnology, and the Product and Service Code (PSC) is B529 - Special Studies/Analysis- Scientific Data.
Notice text
The Experimental Therapeutics (ET) Branch would like to establish an Indefinite Delivery Indefinite Quantity (IDIQ) contract for Artificial Intelligence (AI)/Machine-Learning (ML) in silico screening of candidate drug compounds against known targets of infectious disease threats of interest. In their own facilities, the contractor will screen multimillions of approved and novel compounds against multiple targets to be identified by the Government to identify and develop drug-like ligands. The contractor will utilize ML decision tree algorithms for potent compound identification followed by evaluation of potential toxicity, off-target effects and potential structure based metabolic liabilities.
Files
| File | Type | Posted |
|---|---|---|
| A02-PWS Artificial Intelligence for IDT.pdf | ||
| A01-Request for Information PANMRA-24-P-0000 005879.pdf |
Notice history
| Notice | Type | Posted |
|---|---|---|
| PANMRA-24-P-0000_005879 AI for Infectious Disease Threats | Special Notice | |
| This notice | Pre-Solicitation |
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| Pre-Clinical Models of Infectious Diseases | National Institute of Allergy and Infectious Diseases | No set-aside |
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