Apilak Worachartcheewan

发表

Original article: DETERMINING A NEW FORMULA FOR CALCULATING LOW-DENSITY LIPOPROTEIN CHOLESTEROL: DATA MINING APPROACH

Prabhop Dansethakul, Lalin Thapanathamchai, Sarawut Saichanma, 2015 .

Classification of P-glycoprotein-interacting compounds using machine learning methods

Apilak Worachartcheewan, Virapong Prachayasittikul, Chanin Nantasenamat, 2015, EXCLI journal.

Classification of P-glycoprotein-interacting compounds using machine learning methods

Apilak Worachartcheewan, Virapong Prachayasittikul, Chanin Nantasenamat, 2015, EXCLI journal.

Large-scale QSAR study of aromatase inhibitors using SMILES-based descriptors

Apilak Worachartcheewan, Virapong Prachayasittikul, Chanin Nantasenamat, 2014 .

Towards the Revival of Interpretable QSAR Models

Apilak Worachartcheewan, Chanin Nantasenamat, Wiwat Owasirikul, 2017 .

A Unified Proteochemometric Model for Prediction of Inhibition of Cytochrome P450 Isoforms

Ola Spjuth, Apilak Worachartcheewan, Virapong Prachayasittikul, 2013, PloS one.

Antimicrobial and Antioxidative Activities of Bioactive Constituents from Hydnophytum formicarum Jack

Apilak Worachartcheewan, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, 2008, Molecules.

Bioactive Metabolites from Spilanthes acmella Murr.

Apilak Worachartcheewan, Virapong Prachayasittikul, Supaluk Prachayasittikul, 2009, Molecules.

Machine learning approaches for discerning intercorrelation of hematological parameters and glucose level for identification of diabetes mellitus

Apilak Worachartcheewan, Virapong Prachayasittikul, Chanin Nantasenamat, 2013, EXCLI journal.

Predicting antimicrobial activities of benzimidazole derivatives

Apilak Worachartcheewan, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, 2013, Medicinal Chemistry Research.

QSAR modeling of aromatase inhibitory activity of 1-substituted 1,2,3-triazole analogs of letrozole.

Apilak Worachartcheewan, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, 2013, European journal of medicinal chemistry.

Probing the origin of estrogen receptor alpha inhibition via large-scale QSAR study

Apilak Worachartcheewan, Chanin Nantasenamat, Watshara Shoombuatong, 2018, RSC advances.

Synthesis, anticancer activity and QSAR study of 1,4-naphthoquinone derivatives.

Apilak Worachartcheewan, Virapong Prachayasittikul, Chanin Nantasenamat, 2014, European journal of medicinal chemistry.

Identification of metabolic syndrome using decision tree analysis.

Apilak Worachartcheewan, Phannee Pidetcha, Chartchalerm Isarankura-Na-Ayudhya, 2010, Diabetes research and clinical practice.

Lower BMI cutoff for assessing the prevalence of metabolic syndrome in Thai population

Apilak Worachartcheewan, Phannee Pidetcha, Chartchalerm Isarankura-Na-Ayudhya, 2010, Acta Diabetologica.

Elucidating the Structure-Activity Relationships of the Vasorelaxation and Antioxidation Properties of Thionicotinic Acid Derivatives

Apilak Worachartcheewan, Virapong Prachayasittikul, Chanin Nantasenamat, 2010, Molecules.

Exploring the chemical space of aromatase inhibitors

Apilak Worachartcheewan, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, 2013, Molecular Diversity.

Predicting the free radical scavenging activity of curcumin derivatives

Apilak Worachartcheewan, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, 2011 .

Determining the optimal cutoff points for waist circumference and body mass index for identification of metabolic abnormalities and metabolic syndrome in urban Thai population.

Prabhop Dansethakul, Apilak Worachartcheewan, Phannee Pidetcha, 2012, Diabetes research and clinical practice.

Quantitative population-health relationship (QPHR) for assessing metabolic syndrome

Apilak Worachartcheewan, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, 2013, EXCLI journal.

Antioxidant and antimicrobial activities of Saraca thaipingensis Cantley ex Prain

Apilak Worachartcheewan, Virapong Prachayasittikul, Supaluk Prachayasittikul, 2012 .

Large-scale structure-activity relationship study of hepatitis C virus NS5B polymerase inhibition using SMILES-based descriptors

Apilak Worachartcheewan, Virapong Prachayasittikul, Chanin Nantasenamat, 2015, Molecular Diversity.

On the Origins of Hepatitis C Virus NS5B Polymerase Inhibitory Activity Using Machine Learning Approaches.

Apilak Worachartcheewan, Virapong Prachayasittikul, Chanin Nantasenamat, 2015, Current topics in medicinal chemistry.

Synthesis, cytotoxicity and QSAR study of N-tosyl-1,2,3,4-tetrahydroisoquinoline derivatives

Apilak Worachartcheewan, Virapong Prachayasittikul, Chanin Nantasenamat, 2013, Archives of pharmacal research.

Predictive QSAR modeling of aldose reductase inhibitors using Monte Carlo feature selection.

Apilak Worachartcheewan, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, 2014, European journal of medicinal chemistry.

Modeling the activity of furin inhibitors using artificial neural network.

Apilak Worachartcheewan, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, 2009, European journal of medicinal chemistry.

QSAR Study of H1N1 Neuraminidase Inhibitors from Influenza a Virus

Apilak Worachartcheewan, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, 2014 .

Predicting Metabolic Syndrome Using the Random Forest Method

Apilak Worachartcheewan, Phannee Pidetcha, Virapong Prachayasittikul, 2015, TheScientificWorldJournal.

AutoWeka: toward an automated data mining software for QSAR and QSPR studies.

Apilak Worachartcheewan, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, 2015, Methods in molecular biology.