Summary

This National Institute of General Medical Sciences (NIGMS) Project Grant of $142,182.00 (awarded February 10, 2026, with completion targeted for January 31, 2031) supports fundamental biomedical research under the Biomedical Research and Research Training program (CFDA 93.859). The grant funds Dr. Seetharam's research at Harvard University to develop innovative methodologies for elucidating biomolecular dynamics through magnetic resonance techniques augmented by machine learning and quantum technologies. The research addresses critical limitations in applying magnetic resonance to large biomolecules under near-physiological conditions by creating a novel analysis workflow capable of extracting actionable information from complex experimental data and establishing protocols for a nanoscale magnetic resonance platform operable at high molecular weights and low concentrations.

The project's three specific aims leverage machine learning, quantum computing, and quantum sensing approaches to overcome current sensitivity and resolution constraints in magnetic resonance experiments. Successful completion of this work will enable researchers to better understand post-translational modifications and other fundamental biological processes by significantly expanding the applicability of magnetic resonance techniques, bypassing molecular weight limitations, and circumventing existing sensitivity barriers. This research directly supports NIGMS's mission to increase understanding of biological processes and provide foundational knowledge for advances in disease diagnosis, treatment, and prevention.