Max K. Leong

发表

Development of a New Predictive Model for Interactions with Human Cytochrome P450 2A6 Using Pharmacophore Ensemble/Support Vector Machine (PhE/SVM) Approach

Hong-Bin Chen, Yen-Ming Chen, Po-Hong Chen, 2009, Pharmaceutical Research.

Prediction of human cytochrome P450 2B6‐substrate interactions using hierarchical support vector regression approach

Yen-Ming Chen, Tzu-Hsien Chen, Max K. Leong, 2009, J. Comput. Chem..

Insight Analysis of Promiscuous Estrogen Receptor α-Ligand Binding by a Novel Machine Learning Scheme.

Ching-Feng Weng, Max K Leong, Max K. Leong, 2018, Chemical research in toxicology.

Predicting mutagenicity of aromatic amines by various machine learning approaches.

Max K. Leong, Sheng-Wen Lin, Hong-bin Chen, 2010, Toxicological sciences : an official journal of the Society of Toxicology.

Prediction of Promiscuous P-Glycoprotein Inhibition Using a Novel Machine Learning Scheme

Max K. Leong, Hong-bin Chen, Yu-Hsuan Shih, 2012, PloS one.

Prediction of N-Methyl-D-Aspartate Receptor GluN1-Ligand Binding Affinity by a Novel SVM-Pose/SVM-Score Combinatorial Ensemble Docking Scheme

Ching-Feng Weng, Max K. Leong, C. Weng, 2017, Scientific Reports.

A METHOD OF COMBINED QUANTUM MECHANICAL (QM)/MOLECULAR MECHANICS (MM) TREATMENT OF LARGE POLYATOMIC SYSTEMS WITH CHARGE TRANSFER BETWEEN THE QM AND MM FRAGMENTS

Isaac B. Bersuker, James E. Boggs, Robert S. Pearlman, 1997 .

In silico prediction of drug-induced liver injury: Quo vadis?

Max K. Leong, C. Weng, 2019, Advances in Molecular Toxicology.

Predicting activation of the promiscuous human pregnane X receptor by pharmacophore ensemble/support vector machine approach.

Max K. Leong, Ci Chen, Yu-Hsuan Shih, 2011, Chemical research in toxicology.

In silico prediction of the mutagenicity of nitroaromatic compounds using a novel two-QSAR approach.

Max K. Leong, Yi-Lung Ding, Yi-Lung Ding, 2017, Toxicology in vitro : an international journal published in association with BIBRA.

In Silico Prediction of Inhibition of Promiscuous Breast Cancer Resistance Protein (BCRP/ABCG2)

Fu-Yuan Tsai, Max K. Leong, F. Tsai, 2014, PloS one.

In Silico Prediction of Intestinal Permeability by Hierarchical Support Vector Regression

Max K. Leong, C. Weng, Ming-Han Lee, 2020, International journal of molecular sciences.

The perceptions of natural compounds against dipeptidyl peptidase 4 in diabetes: from in silico to in vivo

Max K. Leong, C. Weng, Jian-Chyi Chen, 2019, Therapeutic advances in chronic disease.

Prodigiosin-Emerged PI3K/Beclin-1-Independent Pathway Elicits Autophagic Cell Death in Doxorubicin-Sensitive and -Resistant Lung Cancer

Max K. Leong, C. Weng, Shian-Ren Lin, 2018, Journal of clinical medicine.

In Silico Prediction of Skin Permeability Using a Two-QSAR Approach

Max K. Leong, C. Weng, G. Ta, 2022, Pharmaceutics.

Potential natural mTOR inhibitors screened by in silico approach and suppress hepatic stellate cells activation

Max K. Leong, Kuan-Wei Lee, C. Weng, 2018, Journal of biomolecular structure & dynamics.

Potent Natural Inhibitors of Alpha-Glucosidase and Alpha-Amylase against Hyperglycemia in Vitro and in Vivo

Max K. Leong, C. Weng, May-Jwan Tsai, 2017 .

Au(i)-benzimidazole/imidazole complexes. Liquid crystals and nanomaterials.

Max K. Leong, I. J. Lin, S. Hsu, 2008, Dalton transactions.

Hypoglycemic Efficacy of Docking Selected Natural Compounds against α-Glucosidase and α-Amylase

Max K. Leong, C. Weng, P. Sung, 2018, Molecules.

Structure and conformation of cyclopentene, cycloheptene and trans-cyclooctene

Max K. Leong, J. E. Boggs, V. S. Mastryukov, 1998 .

In silico Prediction of Skin Sensitization: Quo vadis?

Max K. Leong, G. Ta, Ching-Feng Weng, 2020, Frontiers in Pharmacology.

In Silico Approaches to Identify Polyphenol Compounds as α-Glucosidase and α-Amylase Inhibitors against Type-II Diabetes

Max K. Leong, C. Weng, Dinh-Chuong Pham, 2021, Biomolecules.

Design, synthesis, and structure-activity relationship of pyridyl imidazolidinones: a novel class of potent and selective human enterovirus 71 inhibitors.

Chia-Liang Tai, Yen-Chun Lee, Shin-Ru Shih, 2002, Journal of medicinal chemistry.

Application of the Barton photochemical reaction in the synthesis of 1-dethia-3-aza-1-carba-2-oxacephem: a novel agent against resistant pathogenic microorganisms.

Max K. Leong, A. Moosavi-Movahedi, J. Chamani, 2003, Organic & biomolecular chemistry.

Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence

Max K. Leong, C. Weng, P. Sung, 2019, British journal of pharmacology.

Mangosteen xanthone γ-mangostin exerts lowering blood glucose effect with potentiating insulin sensitivity through the mediation of AMPK/PPARγ.

Max K. Leong, H. Ng, C. Weng, 2021, Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie.

In Silico Prediction of PAMPA Effective Permeability Using a Two-QSAR Approach

Cheng-Ting Chi, Ming-Han Lee, Ching-Feng Weng, 2019, International journal of molecular sciences.

Theoretical Prediction of the Complex P-Glycoprotein Substrate Efflux Based on the Novel Hierarchical Support Vector Regression Scheme

Ching-Feng Weng, Max K Leong, Max K. Leong, 2018, Molecules.

STRUCTURE AND CONFORMATIONS OF SIX-MEMBERED SYSTEMS A6H12 (A=C, SI) : AB INITIO STUDY OF CYCLOHEXANE AND CYCLOHEXASILANE

Max K. Leong, J. E. Boggs, V. S. Mastryukov, 1994 .

A novel approach using pharmacophore ensemble/support vector machine (PhE/SVM) for prediction of hERG liability.

Max K Leong, Max K. Leong, 2007, Chemical research in toxicology.

Development of a Hierarchical Support Vector Regression-Based In Silico Model for Caco-2 Permeability

Max K. Leong, C. Weng, G. Ta, 2021, Pharmaceutics.

Selection and characterization of lipase abzyme from phage displayed antibody libraries.

Max K. Leong, D. Shiuan, Chinpiao Chen, 2007, Biochemical and biophysical research communications.

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

Max K. Leong, C. Weng, R. Kankala, 2017, Nanomaterials.

In silico prediction of the mutagenicity of nitroaromatic compounds using a novel two-QSAR approach.

Max K. Leong, Yi-Lung Ding, Y. Lyu, 2017, Toxicology in vitro : an international journal published in association with BIBRA.