Farhanaz Farheen

CryoZeta improves cryo-EM structure modeling by integrating density features with sequence data using a diffusion-based deep learning model, achieving higher accuracy than existing methods.

CryoDataBot automates the creation of high-quality cryoEM datasets for AI-driven structural biology, improving training efficiency and enabling flexible dataset customization.

The paper predicts transcriptional activation domain function using graph neural networks, achieving high accuracy and outperforming existing methods.