3 citations · 4 across the 10 of their papers we have counts for
6 papers · 1 filter
Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models
Yuchi Qiu, Guo-Wei Wei
Protein engineering is an emerging field in biotechnology that has the potential to revolutionize various areas, such as antibody design, drug discovery, food security, ecology, an…
Machine-learning Repurposing of DrugBank Compounds for Opioid Use Disorder
Hongsong Feng, Jian Jiang, Guo-Wei Wei
Opioid use disorder (OUD) is a chronic and relapsing condition that involves the continued and compulsive use of opioids despite harmful consequences. The development of medication…
Machine-learning Analysis of Opioid Use Disorder Informed by MOR, DOR, KOR, NOR and ZOR-Based Interactome Networks
Hongsong Feng, Rana Elladki, Jian Jiang +1
Opioid use disorder (OUD) continuously poses major public health challenges and social implications worldwide with dramatic rise of opioid dependence leading to potential abuse. De…
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…