Self-supervised deep learning for biological sequences
Official title: Multi-view self-supervised deep learning for biological sequences and beyond
Funded at University of South Florida · NIH-11581695 · Data updated 2026-11-12
A deep learning project uses self-supervised methods to better understand biological sequences and related data, with the goal of advancing biology and medicine.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of South Florida NIH-funded |
| Lab location | 1 site (Tampa, United States) |
| Project start | May 1, 2018 |
| Project end | July 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $375,000 |
| NIH project number | 7R35GM126985-09 |
| Project ID | NIH-11581695 on NIH RePORTER |
Who could benefit from this research
✓Could help
Not applicable for direct patient participation; this is a computational biology project.
✕Less likely to help
No direct patient involvement in the research activities.
What this research studies
This project applies self-supervised deep learning to biological sequences and related problems to improve predictions and design in biology and medicine. It builds on prior DL work from the Xu lab, developing new algorithms, software, and web resources for researchers. The work includes protein sequence analysis, drug design, molecular dynamics, and single-cell data interpretation, with an emphasis on generalizability without heavy reliance on labeled data.
Why it matters
Potential benefit: If successful, this work could improve our ability to predict biological properties from sequences and enable faster, more reliable tools for biology and drug discovery.
How similar studies have gone: Prior self-supervised learning approaches have shown promise in biological sequence analysis and related areas, with growing adoption of SSL in bioinformatics.
Where this research is happening
-
University of South Florida
Tampa, United States Active
Researchers
- Principal investigator: Xu, Dong — University of South Florida
- Study coordinator: Xu, Dong
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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.