TECHNOLOGY LICENSING OPPORTUNITY: SurfGraphPro

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Version Current Record Pre-Award Solicitation Details Classification Description Contact Information Attachments/Links TECHNOLOGY LICENSING OPPORTUNITY: SurfGraphPro

Active

Opportunity TECHNOLOGY LICENSING OPPORTUNITY: SurfGraphPro

Active

Notice ID S-196061

Related Notice (blank)

Contract Opportunity Type Special Notice

Contract Line Item Number (blank)

Inactive Dates Jun 30, 2027

Inactive Policy Manual

Response Date Dec 05, 2026 5:00 PM EST

Published Date Jun 05, 2026 1:30 PM EDT

Department/Ind. Agency ENERGY, DEPARTMENT OF

Sub-tier ENERGY, DEPARTMENT OF

Office TRIAD - DOE CONTRACTOR

Original Set Aside No Set aside used

Product Service Code AJ11 - GENERAL SCIENCE AND TECHNOLOGY R&D SERVICES; GENERAL SCIENCE AND TECHNOLOGY; BASIC RESEARCH

NAICS Code 541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance (blank)

Initiative None

SurfGraphPro, an AI tool, transforms complex protein structures into an easy-to-analyze format that helps researchers quickly identify binding sites, predict molecular interactions and understand protein behavior with greater speed and scalability than traditional approaches. By combining 3D surface graph representations with advanced machine learning, this technology from Los Alamos National Laboratory reduces the computational burden of protein analysis while preserving the structural detail needed for high-value applications in drug discovery, antibody design, pathogen detection and custom protein engineering.

The Challenge:

Protein surfaces are extremely complex, three-dimensional structures, and that complexity makes them difficult to analyze using traditional computational approaches. In practice, many existing methods rely on hand-selected biochemical features, expensive calculations or narrow task-specific models that do not generalize well to new questions. As a result, researchers can face slow runtimes, limited scalability and incomplete insight when trying to identify binding sites, predict molecular interactions or understand broader protein behavior across large sets of proteins. These limitations can make it difficult to move quickly from protein structure data to useful predictions in areas such as drug discovery, antibody design, pathogen detection and protein engineering.

Problems Solved:

SurfGraphPro solves these problems by converting protein surfaces into a graph-based representation that preserves both the physical shape of the surface and the biochemical information…

Topic areas: General and Cross-cutting R&D, Energy and Environment.

Funding amount

This contract provides Varies in funding.

Deadline

Applications are due Dec 05, 2026. Confirm the exact closing time on the official program page before applying.

Who can apply

This opportunity is open to the following applicant types:

• SME
• MidCaps
• Large Company
• Startups
• University
• Research Organization
• NGOs
• Public Authorities

Eligibility

No Set aside used

Agency

TECHNOLOGY LICENSING OPPORTUNITY: SurfGraphPro is administered by Energy, Department Of (ED), listed via SAM.gov.