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U.S. Department Of Defense·Maryland

Generative Unconstrained Intelligence Drug Engineering (GUIDE) collaboration between U.S. interagency, academic and industry partners

Closes 10/18/2028$1M – $5MRequest for Expression of Interest
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Description

The U.S. Army is issuing a Special Announcement to enlist U.S. interagency, academic, and industry partners in the Generative Unconstrained Intelligence Drug Engineering (GUIDE) program. GUIDE is a computational‑experimental platform that uses advanced simulation and machine learning to accelerate the design of medical countermeasures—such as monoclonal antibodies, vaccines, and small‑molecule drugs—by simultaneously optimizing safety, efficacy, manufacturability, and pharmacokinetic/pharmacodynamic attributes. Participation is through a Participant Basic Agreement; interested entities must email the primary contacts demonstrating technical relevance. Awarded projects will be funded under 10 U.S.C. 4022/4023 and will not be subject to the Competition in Contracting Act. • Scope includes R&D on biologics and small‑molecule therapeutics aimed at warfighter protection. • Collaboration involves multiple federal programs (RAPID, VAMP, RAIDR) and requires SAM registration. • No formal bid; entities submit a participation request via email and are evaluated for technical fit before being invited to pursue funded tasks.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Joseph McCaffery

[email protected]

Key dates

Opened
9/23/2026
Closes
10/18/2028

Last updated

Details

Type
Request for Expression of Interest
Industry
Healthcare and Medical Services
NAICS
541715
Solicitation №
W911SR-25-S-GUIDE

Budget estimate

$1,000,000 – $5,000,000

No specific funding amount is disclosed. Given the scope of developing advanced medical countermeasures, comparable federal research collaborations typically range from $1 million to $5 million per awarded project, depending on the complexity of the therapeutic candidate and the level of computational and experimental support required.

AI estimate from the solicitation

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