1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Proteome-informed machine learning studies of cocaine addiction
Kaifu Gao, Dong Chen, Alfred J Robison +1
Cocaine addiction accounts for a large portion of substance use disorders and threatens millions of lives worldwide. There is an urgent need to come up with efficient anti-cocaine…
Multiscale Laplacian Learning
Ekaterina Merkurjev, Duc DUy Nguyen, Guo-Wei Wei
Machine learning methods have greatly changed science, engineering, finance, business, and other fields. Despite the tremendous accomplishments of machine learning and deep learnin…