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Hongliang Duan

Discovery of Intestinal Targeted TGR5 Agonists for the Treatment of Type 2 Diabetes
2015 · Hongliang Duan, Mengmeng Ning, et al. · Journal of Medicinal Chemistry · 90
Design, Synthesis, and Antidiabetic Activity of 4-Phenoxynicotinamide and 4-Phenoxypyrimidine-5-carboxamide Derivatives as Potent and Orally Efficacious TGR5 Agonists
2012 · Hongliang Duan, Mengmeng Ning, et al. · Journal of Medicinal Chemistry · 88
Data augmentation and transfer learning strategies for reaction prediction in low chemical data regimes
2021 · Yun Zhang, Ling Wang, et al. · Organic Chemistry Frontiers · 72
HighFold: accurately predicting structures of cyclic peptides and complexes with head-to-tail and disulfide bridge constraints
2024 · Chenhao Zhang, Chengyun Zhang, et al. · Briefings in Bioinformatics · 58
Multi_CycGT: A Deep Learning-Based Multimodal Model for Predicting the Membrane Permeability of Cyclic Peptides
2024 · Lujing Cao, Zhenyu Xu, et al. · Journal of Medicinal Chemistry · 56
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Retrosynthesis with attention-based NMT model and chemical analysis of “wrong” predictions
2020 · Hongliang Duan, Ling Wang, et al. · RSC Advances · 55
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Deep learning for advancing peptide drug development: Tools and methods in structure prediction and design
2024 · Xinyi Wu, Huitian Lin, et al. · European Journal of Medicinal Chemistry · 54
Heck reaction prediction using a transformer model based on a transfer learning strategy
2020 · Ling Wang, Chengyun Zhang, et al. · Chemical Communications · 49
Recent Advances in Metal-Free Peptide Stapling Strategies
2024 · Wanglin Zhan, Hongliang Duan, et al. · Chem & Bio Engineering · 46
Transfer Learning: Making Retrosynthetic Predictions Based on a Small Chemical Reaction Dataset Scale to a New Level
2020 · Renren Bai, Chengyun Zhang, et al. · Molecules · 36
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NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detection
2024 · Chenglin Yin, Ruheng Wang, et al. · Bioinformatics · 31
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4-Benzofuranyloxynicotinamide derivatives are novel potent and orally available TGR5 agonists
2014 · Qingan Zou, Hongliang Duan, et al. · European Journal of Medicinal Chemistry · 31
Cyclic Peptide Therapeutic Agents Discovery: Computational and Artificial Intelligence-Driven Strategies
2025 · Kang Lin, Chengyun Zhang, et al. · Journal of Medicinal Chemistry · 30
Identification of Small Molecules That Protect Pancreatic β Cells against Endoplasmic Reticulum Stress-Induced Cell Death
2014 · Kim Tran, Yu Li, et al. · ACS Chemical Biology · 27
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MGDDI: A multi-scale graph neural networks for drug–drug interaction prediction
2024 · Guannan Geng, Lizhuang Wang, et al. · Methods · 25
2-Phenylquinazolin-4(3H)-one, a class of potent PDE5 inhibitors with high selectivity versus PDE6
2009 · Hongliang Duan, Jin Zheng, et al. · Bioorganic & Medicinal Chemistry Letters · 25
Transfer learning across different chemical domains: virtual screening of organic materials with deep learning models pretrained on small molecule and chemical reaction data
2024 · Chengwei Zhang, Yushuang Zhai, et al. · Journal of Cheminformatics · 23
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Discovery of NO Donor-Aurovertin Hybrids as Dual Ferroptosis and Apoptosis Inducers for Treating Triple Negative Breast Cancer
2024 · Lie-Feng Ma, Li−Li Xu, et al. · Journal of Medicinal Chemistry · 22
Virtual data augmentation method for reaction prediction
2022 · Xinyi Wu, Yun Zhang, et al. · Scientific Reports · 20
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Discovery, Synthesis, and Evaluation of 2,4-Diaminoquinazolines as a Novel Class of Pancreatic β-Cell-Protective Agents against Endoplasmic Reticulum (ER) Stress
2016 · Hongliang Duan, Jae Wook Lee, et al. · Journal of Medicinal Chemistry · 20
A graph-convolutional neural network for addressing small-scale reaction prediction
2021 · Yejian Wu, Chengyun Zhang, et al. · Chemical Communications · 19
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Identification of 1,2,3-triazole derivatives that protect pancreatic β cells against endoplasmic reticulum stress-mediated dysfunction and death through the inhibition of C/EBP-homologous protein expression
2016 · Hongliang Duan, Daleep Arora, et al. · Bioorganic & Medicinal Chemistry · 19
PepExplainer: An explainable deep learning model for selection-based macrocyclic peptide bioactivity prediction and optimization
2024 · Silong Zhai, Yahong Tan, et al. · European Journal of Medicinal Chemistry · 17
Reproducing the invention of a named reaction: zero-shot prediction of unseen chemical reactions
2022 · An Su, Xinqiao Wang, et al. · Physical Chemistry Chemical Physics · 17
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CycleDesigner: Leveraging CycRFdiffusion and HighFold to Design Cyclic Peptide Binders for Specific Targets
2025 · Chenhao Zhang, Zhenyu Xu, et al. · Journal of Chemical Information and Modeling · 16
Works count: 94
Citation count: 1,227
H-index: 20
I10-index: 36
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