Xu Lab
Principal Investigator: Dong Xu
Institution: University of South Florida (Tampa, FL)
Primary Subfield: Computational Biology
Recruitment Status: Inquire for rotation/fellowship opportunities
Research Focus
Project Abstract The breadth and depth of deep learning (DL) in solving fundamental biological problems have been demonstrated. DL-based approaches, such as AlphaFold2 for 3D protein structure prediction, have become widely accepted by the biology community. The Xu lab has been at the forefront of developing novel DL algorithms, software, and information systems for diverse biological and medical problems. During the current project period, the Xu lab has made excellent progress in addressing some of the urgent challenges and needs for developing DL methods in biological sequence analyses and predictions, as well as other bioinformatics problems. This R35 project has produced 31 papers covering research topics ranging from protein sequence- based predictions to drug design, molecular dynamics simulation, and single-cell data analysis. In addition, it also provided more than ten open-source tools and three major web-based resources to the community. The rapid development of new DL techniques and Xu lab’s accumulating expertise in this field bring new opportunities in shaping DL to molecular biology. The current widely used supervised DL methods in biomedical research often do not ha…
Active NIH Awards
- 7R35GM126985-09: Multi-view self-supervised deep learning for biological sequences and beyond (2026)
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