NIH-funded research R21 grant

Finding molecules that mimic T cell targets

Official title: MimicMaker: an integrated platform for identifying relevant mimics of T cell antigens

Funded at University of Notre Dame · NIH-11358771 · Data updated 2026-11-12

This project builds a computer-and-lab system to find molecules that resemble T cell targets, helping people at risk for acute graft-versus-host disease avoid harmful immune reactions.

Quick facts

Grant typeR21 grant
Study typeNIH-funded research
Funding institutionUniversity of Notre Dame
NIH-funded
Lab location1 site (Notre Dame, United States)
Project startMay 1, 2026
Project endApril 30, 2028
Funding year2026
Award (this year)$434,500
NIH project number1R21TR006240-01
Project IDNIH-11358771 on NIH RePORTER

Who could benefit from this research

Could help

People preparing for or having undergone allogeneic (donor) stem cell or bone marrow transplants and anyone at heightened risk for acute graft-versus-host disease would be the most relevant candidates.

Less likely to help

Patients whose conditions are not related to T cell–mediated immunity or who are not facing transplant or immune therapies are unlikely to benefit directly from this work.

What this research studies

Researchers will use AI-driven 3-D structural modeling to search for peptides and proteins that look like the pieces your T cells recognize. Promising mimic candidates will be tested in the lab to see if real human T cells react to them. The approach combines machine learning, detailed structural analysis, and experimental validation to pinpoint likely cross-reactive mimics. Results aim to highlight risky matches that could cause autoimmunity or transplant rejection before they harm patients.

Why it matters

Potential benefit: If successful, this could help predict and prevent immune attacks after transplant and reduce the risk and severity of acute graft-versus-host disease.

How similar studies have gone: Related computational and laboratory studies have identified molecular mimicry in some cases, but combining AI-driven 3-D modeling with systematic experimental validation in a single platform is relatively novel.

Where this research is happening

  • University of Notre Dame
    Notre Dame, United States
    Active

Researchers

  • Principal investigator: Baker, Brian M — University of Notre Dame
  • Study coordinator: Baker, Brian M

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.