16 citations · 20 across the 2 of their papers we have counts for
3 papers
q-bio.QM2022★ 4 cited
Bridging the gap between target-based and cell-based drug discovery with a graph generative multi-task model
Fan Hu, Dongqi Wang, Huazhen Huang +2
Drug discovery is vitally important for protecting human against disease. Target-based screening is one of the most popular methods to develop new drugs in the past several decades…
q-bio.MN2021★ 16 cited
A Novel Framework Integrating AI Model and Enzymological Experiments Promotes Identification of SARS-CoV-2 3CL Protease Inhibitors and Activity-based Probe
Fan Hu, Lei Wang, Yishen Hu +5
The identification of protein-ligand interaction plays a key role in biochemical research and drug discovery. Although deep learning has recently shown great promise in discovering…
q-bio.MN2020
Prediction of Potential Commercially Available Inhibitors against SARS-CoV-2 by Multi-Task Deep Learning Model
Fan Hu, Jiaxin Jiang, Peng Yin
The outbreak of COVID-19 caused millions of deaths worldwide, and the number of total infections is still rising. It is necessary to identify some potentially effective drugs that…