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Author

Max K. Leong

Observed names: Leong, M.K., Leong, Max, Leong, Max K., M.K. Leong, Max K Leong, Max Leong
Observed institutions: National Health Research Institutes, Chang Gung University, National Dong Hwa University, TaiGen Biotechnology (Taiwan), Mennonite Christian Hospital, The University of Texas at Austin
ORCID: 0000-0002-6927-1517
Observed ORCID: 0000-0002-6927-1517
OpenAlex ID: A5045130225
Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence
2019 · Shian‐Ren Lin, Chia‐Hsiang Chang, et al. · British Journal of Pharmacology · 454
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In Silico Approaches to Identify Polyphenol Compounds as α-Glucosidase and α-Amylase Inhibitors against Type-II Diabetes
2021 · Jirawat Riyaphan, Dinh-Chuong Pham, et al. · Biomolecules · 186
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Design, Synthesis, and Structure−Activity Relationship of Pyridyl Imidazolidinones: A Novel Class of Potent and Selective Human Enterovirus 71 Inhibitors
2002 · Kak-Shan Shia, Wen-Tai Li, et al. · Journal of Medicinal Chemistry · 109
Structure and conformation of cyclopentene, cycloheptene and trans-cyclooctene
1998 · Max K. Leong, Vladimir S. Mastryukov, et al. · Journal of Molecular Structure · 62
A Novel Approach Using Pharmacophore Ensemble/Support Vector Machine (PhE/SVM) for Prediction of hERG Liability
2007 · Max K. Leong · Chemical Research in Toxicology · 56
In Silico Prediction of PAMPA Effective Permeability Using a Two-QSAR Approach
2019 · Cheng-Ting Chi, Ming-Han Lee, et al. · International Journal of Molecular Sciences · 51
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Theoretical Prediction of the Complex P-Glycoprotein Substrate Efflux Based on the Novel Hierarchical Support Vector Regression Scheme
2018 · Chun Chen, Ming-Han Lee, et al. · Molecules · 50
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Hypoglycemic Efficacy of Docking Selected Natural Compounds against α-Glucosidase and α-Amylase
2018 · Jirawat Riyaphan, Chien-Hung Jhong, et al. · Molecules · 48
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Mangosteen xanthone γ-mangostin exerts lowering blood glucose effect with potentiating insulin sensitivity through the mediation of AMPK/PPARγ
2021 · Sih-Pei Chen, Shian-Ren Lin, et al. · Biomedicine & Pharmacotherapy · 44
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In silico Prediction of Skin Sensitization: Quo vadis?
2021 · Giang Huong Ta, Ching-Feng Weng, et al. · Frontiers in Pharmacology · 43
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Au(i)-benzimidazole/imidazole complexes. Liquid crystals and nanomaterials
2008 · S. J. Hsu, K. M. Hsu, et al. · Dalton Transactions · 43
Structure and Conformations of Six-Membered Systems A6H12 (A = C, Si): Ab Initio Study of Cyclohexane and Cyclohexasilane
1994 · Max K. Leong, Vladimir S. Mastryukov, et al. · The Journal of Physical Chemistry · 42
Encapsulation of 16-Hydroxycleroda-3,13-Dine-16,15-Olide in Mesoporous Silica Nanoparticles as a Natural Dipeptidyl Peptidase-4 Inhibitor Potentiated Hypoglycemia in Diabetic Mice
2017 · Po-Kai Huang, Shi-Xiang Lin, et al. · Nanomaterials · 38
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Prodigiosin-Emerged PI3K/Beclin-1-Independent Pathway Elicits Autophagic Cell Death in Doxorubicin-Sensitive and -Resistant Lung Cancer
2018 · Wei-Jun Chiu, Shian-Ren Lin, et al. · Journal of Clinical Medicine · 37
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Predicting Mutagenicity of Aromatic Amines by Various Machine Learning Approaches
2010 · Max K. Leong, Sheng-Wen Lin, et al. · Toxicological Sciences · 37
The perceptions of natural compounds against dipeptidyl peptidase 4 in diabetes: from in silico to in vivo
2019 · Shian-Ren Lin, Chia-Hsiang Chang, et al. · Therapeutic Advances in Chronic Disease · 31
In silico prediction of the mutagenicity of nitroaromatic compounds using a novel two-QSAR approach
2016 · Yi-Lung Ding, You-Chen Lyu, et al. · Toxicology in Vitro · 30
Development of a New Predictive Model for Interactions with Human Cytochrome P450 2A6 Using Pharmacophore Ensemble/Support Vector Machine (PhE/SVM) Approach
2008 · Max K. Leong, Yen-Ming Chen, et al. · Pharmaceutical Research · 29
Prediction of Promiscuous P-Glycoprotein Inhibition Using a Novel Machine Learning Scheme
2012 · Max K. Leong, Hong-Bin Chen, et al. · PLoS ONE · 28
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In Silico Prediction of Skin Permeability Using a Two-QSAR Approach
2022 · Yu-Wen Wu, Giang Huong Ta, et al. · Pharmaceutics · 27
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Prediction of N-Methyl-D-Aspartate Receptor GluN1-Ligand Binding Affinity by a Novel SVM-Pose/SVM-Score Combinatorial Ensemble Docking Scheme
2017 · Max K. Leong, Ren-Guei Syu, et al. · Scientific Reports · 26
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Development of a Hierarchical Support Vector Regression-Based In Silico Model for Caco-2 Permeability
2021 · Giang Huong Ta, Cin-Syong Jhang, et al. · Pharmaceutics · 25
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Prediction of human cytochrome P450 2B6‐substrate interactions using hierarchical support vector regression approach
2008 · Max K. Leong, Yen‐Ming Chen, et al. · Journal of Computational Chemistry · 23
In Silico Prediction of Intestinal Permeability by Hierarchical Support Vector Regression
2020 · Ming-Han Lee, Giang Huong Ta, et al. · International Journal of Molecular Sciences · 22
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In Silico Prediction of Inhibition of Promiscuous Breast Cancer Resistance Protein (BCRP/ABCG2)
2014 · Yi-Lung Ding, Yu-Hsuan Shih, et al. · PLoS ONE · 22
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Works count: 64
Citation count: 1,688
H-index: 23
I10-index: 29
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