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This Government Contract opportunity from Department Of Defense was posted on May 15, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

In Vivo Efficacy Testing in Animal Models

Closed
Federal

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The contract involves conducting in vivo efficacy testing of lead CENi candidates in animal models infected with specific target viruses. The main focus is to assess the therapeutic potential of these candidates by monitoring survival rates, measuring viral loads, and evaluating clinical outcomes compared to a control group to validate results. This work supports the development of antiviral agents by providing critical experimental data on their effectiveness in live organisms. Issued by the Department of Defense through the Navsup Flt Logistics Center Norfolk, the subcontract is designated under NAICS code 541940 and is to be performed in Galveston. The contract was posted on May 15, 2026, with a response deadline set for May 25, 2026. This arrangement requires specialized expertise in virology, animal research models, and effectiveness assessment to meet the scientific and operational objectives laid out by the agency.

General Info

In vivo testing of antiviral candidates' efficacy in animal models for Department of Defense project.

Agency

Department Of Defense → Navsup Flt Logistics Ctr Norfolk

NAICS

541940 - Veterinary Services View NAICS

Place of Performance

Galveston, TX, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

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Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Defense → Navsup Flt Logistics Ctr Norfolk
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Defense → Navsup Flt Logistics Ctr Norfolk
Office AddressN/A
ContactsNo contact information available

Full Description

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Perform in vivo efficacy studies of lead CENi candidates using animal models infected with target viruses. Monitor survival, viral load, and clinical outcomes with control group validation.