3 citations · 4 across the 10 of their papers we have counts for
5 papers · 1 filter
SVSBI: Sequence-based virtual screening of biomolecular interactions
Li Shen, Hongsong Feng, Yuchi Qiu +1
Virtual screening (VS) is an essential technique for understanding biomolecular interactions, particularly, drug design and discovery. The best-performing VS models depend vitally…
TIDAL: Topology-Inferred Drug Addiction Learning
Zhu Zailiang, Dou Bozheng, Cao Yukang +8
Drug addiction or drug overdose is a global public health crisis, and the design of anti-addiction drugs remains a major challenge due to intricate mechanisms. Since experimental d…
Virtual screening of DrugBank database for hERG blockers using topological Laplacian-assisted AI models
Hongsong Feng, Guowei Wei
The human {\it ether-a-go-go} (hERG) potassium channel (K) plays a critical role in mediating cardiac action potential. The blockade of this ion channel can potentia…
Integrating Transformer and Autoencoder Techniques with Spectral Graph Algorithms for the Prediction of Scarcely Labeled Molecular Data
Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
In molecular and biological sciences, experiments are expensive, time-consuming, and often subject to ethical constraints. Consequently, one often faces the challenging task of pre…
Machine learning analysis of cocaine addiction informed by DAT, SERT, and NET-based interactome networks
Hongsong Feng, Kaifu Gao, Dong Chen +3
Cocaine addiction is a psychosocial disorder induced by the chronic use of cocaine and causes a large of number deaths around the world. Despite many decades' effort, no drugs have…