1 citations · 2 across the 3 of their papers we have counts for
3 papers
q-bio.BM2022
VDDB: a comprehensive resource and machine learning platform for antiviral drug discovery
Shunming Tao, Yihao Chen, Jingxing Wu +3
Virus infection is one of the major diseases that seriously threaten human health. To meet the growing demand for mining and sharing data resources related to antiviral drugs and t…
cs.LG2022★ 1 cited
HiGNN: Hierarchical Informative Graph Neural Networks for Molecular Property Prediction Equipped with Feature-Wise Attention
Weimin Zhu, Yi Zhang, DuanCheng Zhao +2
Elucidating and accurately predicting the druggability and bioactivities of molecules plays a pivotal role in drug design and discovery and remains an open challenge. Recently, gra…
q-bio.MN2022★ 1 cited
FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction
Hanxuan Cai, Huimin Zhang, Duancheng Zhao +2
Deep learning is an important method for molecular design and exhibits considerable ability to predict molecular properties, including physicochemical, bioactive, and ADME/T (absor…