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U.S. Department Of Defense·Maryland

Assessment of Host-targeted Nanobody Therapeutics

Closes 1/21/2026$5M – $20MRequest for Proposal
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Description

The U.S. Army Medical Research of Infectious Diseases (USAMRIID) and the Defense Health Agency (DHA) are seeking a contractor to assess host-targeted nanobody therapeutics using in vitro porcine blood-brain barrier (BBB) models. The contractor will be required to refine in vitro BBB models, establish baseline transmigration efficiencies for non-targeted nanobody therapies, assess transmigration efficiencies for BBB-targeted nanobody therapies, and establish a BBB model of non-human primate (NHP) origin. The contractor will also be required to provide subject-matter expertise on in vitro BBB models and advise on optimal targets for BBB targeting nanobody therapeutics. Some key tasks include: • Refining in vitro BBB models for the assessment of nanobody therapeutic transmigration • Establishing baseline transmigration efficiencies for non-targeted nanobody therapies • Assessing transmigration efficiencies for BBB-targeted nanobody therapies • Establishing a BBB model of NHP origin • Providing subject-matter expertise on in vitro BBB models and advising on optimal targets for BBB targeting nanobody therapeutics

Attached files

Contact

Grant A. Gratton

[email protected]

(301) 619-2593

Key dates

Opened
1/7/2026
Closes
1/21/2026
Duration
5 years

Last updated

Details

Type
Request for Proposal
Industry
Healthcare and Medical Services
NAICS
541715
Solicitation №
HT942626QE003

Budget estimate

$5,000,000 – $20,000,000

The budget for this contract can be estimated based on the scope of work and the fact that it is an IDIQ contract with a five-year ordering period. The contract will involve refining in vitro BBB models, establishing baseline transmigration efficiencies, assessing transmigration efficiencies, and establishing a BBB model of NHP origin. The budget can be estimated to be in the range of $5 million to $20 million over the five-year period, depending on the number of task orders issued and the complexity of the work. Factors that may influence the likely payment range include the number of task orders, the scope of each task order, and the level of expertise required.

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