# Development of high-dose time-resolved x-ray footprinting technologies to enable the next level of structural analysis for challenging biological problems

> **NIH NIH R01** · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · 2021 · $362,948

## Abstract

PROJECT SUMMARY/ABSTRACT
The goal of the project is to provide significant new technologies for biomedical research. These technologies
build on the success of well-established structural biology techniques, and significantly advance the amount of
information obtainable on a diverse range of biological systems. Specifically, the technologies developed will
be used to map solvent accessible regions in macromolecules on a timescale of microseconds, yielding
information on conformation, protein-protein dynamics, and bound water location and dynamics. The
technologies will be appropriate for studying large protein complexes, proteins in membranes, and
macromolecular structures in cell fractions, and will be developed for both static structure and for delineating
structural changes as a function of time on the microsecond timescale. Proof of principle for these technologies
is presented, along with preliminary data, and the proposal outlines the significant technical challenges
involved and how they will be overcome. Automation and throughput are part of the new capabilities and will
enable access to the new technologies to a wide user base in the biomedical research community.

## Key facts

- **NIH application ID:** 10075290
- **Project number:** 5R01GM126218-04
- **Recipient organization:** UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB
- **Principal Investigator:** CORIE Y RALSTON
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $362,948
- **Award type:** 5
- **Project period:** 2018-01-01 → 2022-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10075290

## Citation

> US National Institutes of Health, RePORTER application 10075290, Development of high-dose time-resolved x-ray footprinting technologies to enable the next level of structural analysis for challenging biological problems (5R01GM126218-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10075290. Licensed CC0.

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