Predicting how distant amino acid changes affect protein binding
Using dynamic network models to quantitatively predict changes in binding affinity/specificity that arise from long-range amino acid substitutions
['FUNDING_R01'] · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · NIH-10908561
This study is looking at how changes in certain building blocks of proteins can affect how well they work, which could help us figure out if genetic changes are harmful or not, especially for treating illnesses like COVID-19.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | ARIZONA STATE UNIVERSITY-TEMPE CAMPUS (nih funded) |
| Locations | 1 site (TEMPE, UNITED STATES) |
| Trial ID | NIH-10908561 on ClinicalTrials.gov |
What this research studies
This research focuses on understanding how changes in amino acids, particularly those far from a protein's active site, can influence its ability to bind with other molecules. By using advanced computational models and molecular dynamics simulations, the researchers aim to predict the effects of these long-range substitutions on protein function. This approach could help distinguish between harmful and neutral genetic variations, which is crucial for developing targeted therapies, especially for conditions like COVID-19.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with genetic variations that may affect protein binding, particularly those related to viral infections like COVID-19.
Not a fit: Patients with stable genetic profiles that do not involve significant amino acid substitutions or those not affected by viral infections may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved methods for predicting the impact of genetic mutations on protein function, enhancing the development of targeted treatments for diseases.
How similar studies have performed: Previous studies using similar computational approaches have shown promise in understanding protein dynamics and their implications for function, suggesting that this research builds on established methodologies.
Where this research is happening
TEMPE, UNITED STATES
- ARIZONA STATE UNIVERSITY-TEMPE CAMPUS — TEMPE, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: OZKAN, SEFIKA BANU — ARIZONA STATE UNIVERSITY-TEMPE CAMPUS
- Study coordinator: OZKAN, SEFIKA BANU
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.