Dr. Shuvo was recently awarded an NSF Research Initiation Award: Bridging the Gap between Sequence and Function with Ethical and Explainable AI for Protein Function Prediction. This is a 3-year, $445,686 grant, sponsored by DUE (Division Of Undergraduate Education).
Project Title: Bridging the Gap between Sequence and Function with Ethical and Explainable AI for Protein Function Prediction
Principal Investigator: Md Hossain Shuvo, Ph.D.
Project Description:
This project will develop advanced deep learning frameworks for protein function prediction by integrating protein sequence, three-dimensional structural, protein–protein interaction, and protein–nucleic acid interaction information within ethical and explainable AI models.
The research will explore transformer models, graph neural networks, convolutional neural networks, and hybrid learning approaches to improve the prediction of biological functions from protein sequences. The project will emphasize explainability, transparency, and robustness and will evaluate the developed methods using publicly available benchmark datasets and the Critical Assessment of Functional Annotation (CAFA) Challenge.
The project will also provide open-source software, web-based computational tools, and educational materials to support the scientific community, while expanding student research and workforce development opportunities.