Jiaqiang Qian

ParSeek is a deep learning model for cryo-EM particle picking trained on synthetic data, achieving high accuracy and outperforming existing methods on multiple datasets.

This paper introduces AiDTA, a deep reinforcement learning method for de novo design of protein-binding aptamers, achieving high-affinity DNA aptamers for disease-related proteins.

This study uses docking simulations to analyze H9N2 avian influenza virus adaptability by examining hemagglutinin interactions with mammalian receptors, revealing how mutations affect binding and conformational dynamics.