Guishen Wang
Overview
Explore the profile of Guishen Wang including associated specialties, affiliations and a list of published articles.
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Articles
13
Citations
36
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Recent Articles
1.
Wang H, Xu M, Guo Z, You G, Wang G, Cao C, et al.
Comput Biol Chem
. 2025 Mar;
117:108410.
PMID: 40086346
Accurate prediction of Drug-Target Interactions (DTIs) is crucial for drug discovery and development. While current research focuses predominantly on modern medicine, we propose DTI-BGCGCN, a novel predictive model that integrates...
2.
Wang G, Chen H, Wang H, Gao H, Hu X, Cao C
IEEE J Biomed Health Inform
. 2025 Mar;
PP.
PMID: 40067720
Artificial intelligence techniques play a pivotal role in the accurate identification of drug-drug interaction (DDI) events, thereby informing clinical decisions and treatment regimens. While existing DDI prediction models have made...
3.
Wang G, Zhang H, Shao M, Sun S, Cao C
J Chem Inf Model
. 2025 Jan;
65(3):1615-1630.
PMID: 39833138
Predicting drug-target binding affinity (DTA) is a crucial task in drug discovery research. Recent studies have demonstrated that pocket features and interactions between targets and drugs significantly improve the understanding...
4.
Wang G, Zhang H, Shao M, Feng Y, Cao C, Hu X
J Cheminform
. 2024 Dec;
16(1):147.
PMID: 39734235
Predicting protein-ligand binding affinity is essential for understanding protein-ligand interactions and advancing drug discovery. Recent research has demonstrated the advantages of sequence-based models and graph-based models. In this study, we...
5.
Wang G, Feng H, Du M, Feng Y, Cao C
J Chem Inf Model
. 2024 Oct;
64(21):8322-8338.
PMID: 39432821
Toxicity is paramount for comprehending compound properties, particularly in the early stages of drug design. Due to the diversity and complexity of toxic effects, it became a challenge to compute...
6.
Wang G, Feng H, Cao C
J Comput Biol
. 2024 Jul;
32(2):198-211.
PMID: 39049806
Research on drug-drug interaction (DDI) prediction, particularly in identifying DDI event types, is crucial for understanding adverse drug reactions and drug combinations. This work introduces a Bidirectional Recurrent Neural Network...
7.
Wang G, Zhang H, Shao M, Tian M, Feng H, Li Q, et al.
Comput Struct Biotechnol J
. 2024 Jul;
23:2478-2486.
PMID: 38952424
Gene expression plays a pivotal role in various diseases, contributing significantly to their mechanisms. Most GWAS risk loci are in non-coding regions, potentially affecting disease risk by altering gene expression...
8.
Wei Y, Feng Y, Zhou X, Wang G
Front Plant Sci
. 2024 Jan;
14:1320448.
PMID: 38186601
Weed control is a global issue of great concern, and smart weeding robots equipped with advanced vision algorithms can perform efficient and precise weed control. Furthermore, the application of smart...
9.
Wang G, Lou X, Guo F, Kwok D, Cao C
IEEE J Biomed Health Inform
. 2023 Dec;
28(3):1668-1679.
PMID: 38133976
Text classification is a central part of natural language processing, with important applications in understanding the knowledge behind biomedical texts including electronic health records (EHR). In this article, we propose...
10.
Cao C, Shao M, Zuo C, Kwok D, Liu L, Ge Y, et al.
Nucleic Acids Res
. 2023 Oct;
52(D1):D990-D997.
PMID: 37831073
Rare variants contribute significantly to the genetic causes of complex traits, as they can have much larger effects than common variants and account for much of the missing heritability in...