3 citations · 4 across the 10 of their papers we have counts for
14 papers
ChatGPT in Drug Discovery: A Case Study on Anti-Cocaine Addiction Drug Development with Chatbots
Rui Wang, Hongsong Feng, Guo-Wei Wei
The birth of ChatGPT, a cutting-edge language model-based chatbot developed by OpenAI, ushered in a new era in AI. However, due to potential pitfalls, its role in rigorous scientif…
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…
Multi-objective Molecular Optimization for Opioid Use Disorder Treatment Using Generative Network Complex
Hongsong Feng, Rui Wang, Chang-Guo Zhan +1
Opioid Use Disorder (OUD) has emerged as a significant global public health issue, with complex multifaceted conditions. Due to the lack of effective treatment options for various…
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification
Gokul Bhusal, Ekaterina Merkurjev, Guo-Wei Wei
The success of many machine learning (ML) methods depends crucially on having large amounts of labeled data. However, obtaining enough labeled data can be expensive, time-consuming…
Persistent hyperdigraph homology and persistent hyperdigraph Laplacians
Dong Chen, Jian Liu, Jie Wu +1
Hypergraphs are useful mathematical models for describing complex relationships among members of a structured graph, while hyperdigraphs serve as a generalization that can encode a…
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…
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…
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…