Improving software for analyzing protein structures using X-ray crystallography
DIALS: supporting structural biology through open source diffraction processing software
['FUNDING_OTHER'] · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · NIH-10868098
This study is working on making a special software better so that scientists can more easily understand the shapes of proteins, which can help in studying diseases like COVID-19, and it’s designed to help researchers in the U.S. do their work faster and more accurately.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB (nih funded) |
| Locations | 1 site (BERKELEY, UNITED STATES) |
| Trial ID | NIH-10868098 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing the DIALS software, which processes diffraction data from X-ray crystallography to determine protein structures. By improving this open-source tool, researchers can more effectively analyze weak signals in diffraction patterns, leading to better understanding of protein structures relevant to various diseases, including COVID-19. The project aims to create a national resource that supports researchers in the U.S. by providing advanced software capabilities for rapid data processing and decision-making during experiments. This initiative will facilitate high-impact biological research by enabling faster and more accurate structural analysis.
Who could benefit from this research
Good fit: Ideal candidates for benefiting from this research include individuals affected by diseases that involve protein misfolding or dysfunction, such as COVID-19 or malaria.
Not a fit: Patients with conditions unrelated to protein structure or those not involved in research settings may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could significantly enhance the ability to determine protein structures, leading to advancements in drug development and disease understanding.
How similar studies have performed: Previous research has successfully utilized similar software approaches in structural biology, indicating a strong potential for impactful results in this area.
Where this research is happening
BERKELEY, UNITED STATES
- UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB — BERKELEY, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: BREWSTER, AARON SAMUEL — UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB
- Study coordinator: BREWSTER, AARON SAMUEL
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.