Predicting how proteins interact with peptides
Structure prediction and in silico screening of protein-peptide interactions
['FUNDING_OTHER'] · UNIVERSITY OF MISSOURI-COLUMBIA · NIH-10834226
This study is exploring how proteins and small pieces of proteins called peptides work together in our bodies, which is important for things like how our cells communicate and fight off illness, and it uses smart computer models to help predict how these protein-peptide pairs are shaped, which could lead to new treatments using peptides.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF MISSOURI-COLUMBIA (nih funded) |
| Locations | 1 site (COLUMBIA, UNITED STATES) |
| Trial ID | NIH-10834226 on ClinicalTrials.gov |
What this research studies
This research focuses on understanding the interactions between proteins and peptides, which are crucial for various cellular functions like signaling and immune responses. By developing advanced deep-learning models, the project aims to predict the structures of protein-peptide complexes, which are currently difficult to determine due to the flexibility of peptides. This innovative approach combines bioinformatics and physical modeling to enhance our understanding of biological processes and aid in the development of peptide-based therapies.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with conditions that could benefit from peptide-based therapies, such as autoimmune diseases or metabolic disorders.
Not a fit: Patients with conditions that do not involve protein-peptide interactions or those who are not candidates for peptide-based treatments may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to the development of new peptide-based treatments for various diseases.
How similar studies have performed: Other research has shown success in using deep learning for protein structure prediction, indicating potential for this novel approach to yield significant insights.
Where this research is happening
COLUMBIA, UNITED STATES
- UNIVERSITY OF MISSOURI-COLUMBIA — COLUMBIA, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: ZOU, XIAOQIN — UNIVERSITY OF MISSOURI-COLUMBIA
- Study coordinator: ZOU, XIAOQIN
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.