C. Nantasenamat

发表

Quantitative structure–property relationship study of spectral properties of green fluorescent protein with support vector machine

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2013 .

Rational Design of Analyte Channels of the Green Fluorescent Protein for Biosensor Applications

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2007, International journal of biological sciences.

EDTA-induced membrane fluidization and destabilization: biophysical studies on artificial lipid membranes.

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2007, Acta biochimica et biophysica Sinica.

Molecularly imprinted polymer for human viral pathogen detection.

Chanin Nantasenamat, Aijaz Ahmad Malik, Theeraphon Piacham, 2017, Materials science & engineering. C, Materials for biological applications.

Multidisciplinary approaches for targeting the secretase protein family as a therapeutic route for Alzheimer's disease

B. Vincent, C. Nantasenamat, A. Malik, 2019, Medicinal research reviews.

Genetic algorithm search space splicing particle swarm optimization as general-purpose optimizer

C. Nantasenamat, C. Isarankura-Na-Ayudhya, V. Prachayasittikul, 2013 .

Prediction of bond dissociation enthalpy of antioxidant phenols by support vector machine.

C. Nantasenamat, C. Isarankura-Na-Ayudhya, V. Prachayasittikul, 2008, Journal of molecular graphics & modelling.

The MicroRNA Interaction Network of Lipid Diseases

C. Nantasenamat, V. Prachayasittikul, W. Shoombuatong, 2017, Front. Genet..

Computer-Aided Drug Design of Bioactive Natural Products.

C. Nantasenamat, V. Prachayasittikul, W. Shoombuatong, 2015, Current topics in medicinal chemistry.

Origin of aromatase inhibitory activity via proteochemometric modeling

O. Spjuth, M. Lapins, J. Wikberg, 2016, PeerJ.

TargetAntiAngio: A Sequence-Based Tool for the Prediction and Analysis of Anti-Angiogenic Peptides

Virapong Prachayasittikul, Chanin Nantasenamat, Watshara Shoombuatong, 2019, International journal of molecular sciences.

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.

Unraveling the origin of splice switching activity of hemoglobin β-globin gene modulators via QSAR modeling

Virapong Prachayasittikul, Chanin Nantasenamat, Leif Bülow, 2016 .

Data mining for the identification of metabolic syndrome status

C. Nantasenamat, V. Prachayasittikul, N. Schaduangrat, 2018, EXCLI journal.

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

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

Identification of metabolic syndrome using decision tree analysis.

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

Predicting Metabolic Syndrome Using the Random Forest Method

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

CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins

Virapong Prachayasittikul, Chanin Nantasenamat, Watshara Shoombuatong, 2017 .

Quantitative structure-imprinting factor relationship of molecularly imprinted polymers.

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2007, Biosensors & bioelectronics.

Computational Insights on Sulfonamide Imprinted Polymers

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2008, Molecules.

Privileged substructures for anti-sickling activity via cheminformatic analysis

C. Nantasenamat, W. Shoombuatong, V. Prachayasittikul, 2018, RSC advances.

Tackling the Antibiotic Resistance Caused by Class A β-Lactamases through the Use of β-Lactamase Inhibitory Protein

C. Nantasenamat, A. Malik, N. Schaduangrat, 2018, International journal of molecular sciences.

Synthesis and computational investigation of molecularly imprinted nanospheres for selective recognition of alpha-tocopherol succinate

C. Nantasenamat, C. Isarankura-Na-Ayudhya, V. Prachayasittikul, 2013, EXCLI journal.

Betulinic Acid Modulates the Expression of HSPA and Activates Apoptosis in Two Cell Lines of Human Colorectal Cancer

C. Nantasenamat, Saksit Nobsathian, Laphatrada Yurasakpong, 2021, Molecules.

Toward insights on determining factors for high activity in antimicrobial peptides via machine learning

C. Nantasenamat, Hao Li, 2019, PeerJ.

QSAR study of anti-prion activity of 2-aminothiazoles

C. Nantasenamat, K. Srungboonmee, C. Isarankura-Na-Ayudhya, 2012, EXCLI journal.

Probing the origins of anticancer activity of chrysin derivatives

C. Nantasenamat, C. Isarankura-Na-Ayudhya, V. Prachayasittikul, 2015, Medicinal Chemistry Research.

Review article: A PRACTICAL OVERVIEW OF QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP

C. Nantasenamat, C. Isarankura-Na-Ayudhya, V. Prachayasittikul, 2009 .

QSAR study of amidino bis-benzimidazole derivatives as potent anti-malarial agents against Plasmodium falciparum

C. Nantasenamat, C. Isarankura-Na-Ayudhya, V. Prachayasittikul, 2013, Chemical Papers.

Original article: PROBING THE ORIGINS OF AROMATASE INHIBITORY ACTIVITY OF DISUBSTITUTED COUMARINS VIA QSAR AND MOLECULAR DOCKING

C. Nantasenamat, V. Prachayasittikul, A. Worachartcheewan, 2014 .

Probing the origins of aromatase inhibitory activity of disubstituted coumarins via QSAR and molecular docking

C. Nantasenamat, V. Prachayasittikul, A. Worachartcheewan, 2014, EXCLI Journal : Experimental and Clinical Sciences.

Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathy

C. Nantasenamat, N. Schaduangrat, Chadinee Thippakorn, 2018, EXCLI journal.

Towards the design of 3-aminopyrazole pharmacophore of pyrazolopyridine derivatives as novel antioxidants

C. Nantasenamat, V. Prachayasittikul, A. Worachartcheewan, 2017, Medicinal Chemistry Research.

Aromatase inhibitory activity of 1,4-naphthoquinone derivatives and QSAR study

C. Nantasenamat, V. Prachayasittikul, V. Prachayasittikul, 2017, EXCLI journal.

Insights into antioxidant activity of 1-adamantylthiopyridine analogs using multiple linear regression.

C. Nantasenamat, V. Prachayasittikul, Teerawat Monnor, 2014, European journal of medicinal chemistry.

QSAR-driven rational design of novel DNA methyltransferase 1 inhibitors

C. Nantasenamat, V. Prachayasittikul, V. Prachayasittikul, 2020, EXCLI journal.

Exploring the origin of phosphodiesterase inhibition via proteochemometric modeling

C. Nantasenamat, B. Rasti, N. Schaduangrat, 2017 .

Solving the barriers to diabetes education through the use of multimedia.

C. Nantasenamat, C. Isarankura-Na-Ayudhya, V. Prachayasittikul, 2010, Nursing & health sciences.

QSAR modeling of aromatase inhibition by flavonoids using machine learning approaches

C. Nantasenamat, C. Isarankura-Na-Ayudhya, V. Prachayasittikul, 2014, Chemical Papers.

Copper Complexes of Nicotinic-Aromatic Carboxylic Acids as Superoxide Dismutase Mimetics

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2008, Molecules.

AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning

Julian M. W. Quinn, P. Lio’, Phasit Charoenkwan, 2022, Scientific Reports.

Prediction of selectivity index of pentachlorophenol-imprinted polymers

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2006 .

Cytotoxicity and QSAR study of (thio)ureas derived from phenylalkylamines and pyridylalkylamines

C. Nantasenamat, V. Prachayasittikul, S. Ruchirawat, 2012, Medicinal Chemistry Research.

Design, synthesis and molecular docking studies of novel N-benzenesulfonyl-1,2,3,4-tetrahydroisoquinoline-based triazoles with potential anticancer activity.

C. Nantasenamat, V. Prachayasittikul, S. Ruchirawat, 2014, European journal of medicinal chemistry.

Rational Design of Colchicine Derivatives as anti-HIV Agents via QSAR and Molecular Docking.

C. Nantasenamat, V. Prachayasittikul, A. Worachartcheewan, 2019, Medicinal chemistry (Shariqah (United Arab Emirates)).

Improved prediction and characterization of anticancer activities of peptides using a novel flexible scoring card method

V. Lee, Phasit Charoenkwan, M. Hasan, 2021, Scientific Reports.

Modeling the LPS Neutralization Activity of Anti-Endotoxins

Chartchalerm Isarankura-Na-Ayudhya, Chanin Nantasenamat, Thanakorn Naenna, 2009, Molecules.

Probing the origins of 17β-hydroxysteroid dehydrogenase type 1 inhibitory activity via QSAR and molecular docking.

C. Nantasenamat, K. Srungboonmee, V. Prachayasittikul, 2015, European journal of medicinal chemistry.

Bioinformatics and experimental studies of anti-leukemic activity from 6-gingerol demonstrate its role in p53 mediated apoptosis pathway

C. Nantasenamat, S. Roytrakul, U. Anurathapan, 2020, EXCLI journal.

Proteomic study of in vitro osteogenic differentiation of mesenchymal stem cells in high glucose condition

C. Nantasenamat, C. Isarankura-Na-Ayudhya, S. Roytrakul, 2020, Molecular Biology Reports.

Oxidative responses and defense mechanism of hyperpigmented P. aeruginosa as characterized by proteomics and metabolomics

C. Nantasenamat, C. Isarankura-Na-Ayudhya, V. Prachayasittikul, 2018, EXCLI journal.

Structural and biochemical characterization of two heme binding sites on α1-microglobulin using site directed mutagenesis and molecular simulation.

A. Alayash, C. Nantasenamat, V. Prachayasittikul, 2016, Biochimica et biophysica acta.

ABCpred: a webserver for the discovery of acetyl- and butyryl-cholinesterase inhibitors

C. Nantasenamat, A. Malik, N. Schaduangrat, 2021, Molecular Diversity.

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

C. Nantasenamat, V. Prachayasittikul, S. Ruchirawat, 2013, Archives of Pharmacal Research.

Morphometric analysis of dry atlas vertebrae in a northeastern Thai population and possible correlation with sex

C. Nantasenamat, Y. Kasai, A. Suwannakhan, 2023, Surgical and Radiologic Anatomy.

Synthesis, biological evaluation and molecular docking of novel chalcone-coumarin hybrids as anticancer and antimalarial agents.

C. Nantasenamat, V. Prachayasittikul, S. Ruchirawat, 2014, European journal of medicinal chemistry.

Classification and Morphometric Features of Pterion in Thai Population with Potential Sex Prediction

C. Nantasenamat, N. Phunchago, A. Suwannakhan, 2021, Medicina.

Copper complexes of pyridine derivatives with superoxide scavenging and antimicrobial activities.

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2009, European journal of medicinal chemistry.

Novel 1,4-naphthoquinone-based sulfonamides: Synthesis, QSAR, anticancer and antimalarial studies.

C. Nantasenamat, V. Prachayasittikul, V. Prachayasittikul, 2015, European journal of medicinal chemistry.

Synthesis and structure-activity relationship of 2-thiopyrimidine-4-one analogs as antimicrobial and anticancer agents.

C. Nantasenamat, V. Prachayasittikul, S. Ruchirawat, 2011, European journal of medicinal chemistry.

Synthesis and molecular docking of 1,2,3-triazole-based sulfonamides as aromatase inhibitors.

C. Nantasenamat, V. Prachayasittikul, V. Prachayasittikul, 2015, Bioorganic & medicinal chemistry.

Antioxidant, cytotoxicity, and QSAR study of 1-adamantylthio derivatives of 3-picoline and phenylpyridines

C. Nantasenamat, V. Prachayasittikul, Tanawut Tantimongcolwat, 2011, Medicinal Chemistry Research.

Discovery of novel 1,2,3-triazole derivatives as anticancer agents using QSAR and in silico structural modification

C. Nantasenamat, V. Prachayasittikul, V. Prachayasittikul, 2015, SpringerPlus.

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

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

ABCpred: a webserver for the discovery of acetyl- and butyryl-cholinesterase inhibitors

C. Nantasenamat, A. Malik, N. Schaduangrat, 2021, Molecular diversity.

Towards reproducible computational drug discovery

Ola Spjuth, Nalini Schaduangrat, Samuel Lampa, 2020, Journal of Cheminformatics.

Oxidized regenerated cellulose nanofiber membranes for capturing heavy metals in aqueous solutions

C. Nantasenamat, Nithinart Chitpong, Thanate Juntadech, 2021, Cellulose.

Mechanisms and Neuroprotective Activities of Stigmasterol Against Oxidative Stress-Induced Neuronal Cell Death via Sirtuin Family

C. Nantasenamat, V. Prachayasittikul, Kamonrat Phopin, 2021, Frontiers in Nutrition.

Computational identification of miRNAs that modulate the differentiation of mesenchymal stem cells to osteoblasts

C. Nantasenamat, V. Prachayasittikul, P. Nuchnoi, 2016, PeerJ.

Predicting the free radical scavenging activity of curcumin derivatives

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

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.

Molecular Docking of Aromatase Inhibitors

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2011, Molecules.

Roles of d-Amino Acids on the Bioactivity of Host Defense Peptides

Virapong Prachayasittikul, Hao Li, Chanin Nantasenamat, 2016, International journal of molecular sciences.

Investigation of aromatase inhibitory activity of metal complexes of 8-hydroxyquinoline and uracil derivatives

C. Nantasenamat, V. Prachayasittikul, V. Prachayasittikul, 2014, Drug design, development and therapy.

Unraveling the bioactivity of anticancer peptides as deduced from machine learning

Chanin Nantasenamat, Watshara Shoombuatong, Nalini Schaduangrat, 2018, EXCLI journal.

SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids

P. Lio’, Balachandran Manavalan, Phasit Charoenkwan, 2022, Pharmaceutics.

In silico approaches for the prediction and analysis of antiviral peptides: a review.

Chanin Nantasenamat, Watshara Shoombuatong, Phasit Charoenkwan, 2020, Current pharmaceutical design.

Meta-iAVP: A Sequence-Based Meta-Predictor for Improving the Prediction of Antiviral Peptides Using Effective Feature Representation

Virapong Prachayasittikul, Nalini Schaduangrat, Chanin Nantasenamat, 2019, International journal of molecular sciences.

THPep: A machine learning-based approach for predicting tumor homing peptides

Nalini Schaduangrat, Chanin Nantasenamat, Watshara Shoombuatong, 2019, Comput. Biol. Chem..

ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides

Virapong Prachayasittikul, Chanin Nantasenamat, Watshara Shoombuatong, 2019, Molecules.

Data mining of magnetocardiograms for prediction of ischemic heart disease

Chanin Nantasenamat, Thanakorn Naenna, Yosawin Kangwanariyakul, 2010, EXCLI journal.

Original article: DATA MINING OF MAGNETOCARDIOGRAMS FOR PREDICTION OF ISCHEMIC HEART DISEASE

Chanin Nantasenamat, Thanakorn Naenna, Yosawin Kangwanariyakul, 2010 .

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.

ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia

V. Laengsri, W. Shoombuatong, W. Adirojananon, 2019, BMC Medical Informatics and Decision Making.

Advances in computational methods to predict the biological activity of compounds

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2010, Expert opinion on drug discovery.

iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features

P. Lio’, Phasit Charoenkwan, M. Hasan, 2021, International journal of molecular sciences.

BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides

Chanin Nantasenamat, Phasit Charoenkwan, Watshara Shoombuatong, 2021, Bioinform..

iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptides.

Chanin Nantasenamat, Phasit Charoenkwan, Watshara Shoombuatong, 2020, Genomics.

Exploring the epigenetic drug discovery landscape

Virapong Prachayasittikul, Chanin Nantasenamat, Veda Prachayasittikul, 2017, Expert opinion on drug discovery.

A novel potent autophagy inhibitor ECDD-S27 targets vacuolar ATPase and inhibits cancer cell survival

P. Tuchinda, C. Nantasenamat, S. Borwornpinyo, 2019, Scientific Reports.

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

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

Cheminformatic Analysis and Machine Learning Modeling to Investigate Androgen Receptor Antagonists to Combat Prostate Cancer

C. Nantasenamat, Theeraphon Piacham, Nuttapat Anuwongcharoen, 2023, ACS omega.

miR-130a and miR-27b Enhance Osteogenesis in Human Bone Marrow Mesenchymal Stem Cells via Specific Down-Regulation of Peroxisome Proliferator-Activated Receptor γ

C. Nantasenamat, P. Nuchnoi, S. Hongeng, 2018, Front. Genet..

Illuminating the origins of spectral properties of green fluorescent proteins via proteochemometric and molecular modeling

Virapong Prachayasittikul, Jarl E. S. Wikberg, Chanin Nantasenamat, 2014, J. Comput. Chem..

Exploring the Chemical Space of CYP17A1 Inhibitors Using Cheminformatics and Machine Learning

C. Nantasenamat, Theeraphon Piacham, Nuttapat Anuwongcharoen, 2023, Molecules.

Pragmatic Applications and Universality of DNA Barcoding for Substantial Organisms at Species Level: A Review to Explore a Way Forward

C. Nantasenamat, A. Malik, M. Ahmed, 2022, BioMed research international.

PAAP: a web server for predicting antihypertensive activity of peptides.

Virapong Prachayasittikul, Chanin Nantasenamat, Watshara Shoombuatong, 2018, Future medicinal chemistry.

Production and characterization of antibody against Opisthorchis viverrini via phage display and molecular simulation

C. Nantasenamat, A. Malik, A. Techasen, 2021, PloS one.

Large-scale classification of P-glycoprotein inhibitors using SMILES-based descriptors

A P Toropova, V Prachayasittikul, A Worachartcheewan, 2017, SAR and QSAR in environmental research.

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

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

PARP1pred: a web server for screening the bioactivity of inhibitors against DNA repair enzyme PARP-1

C. Nantasenamat, A. Malik, Tassanee Lerksuthirat, 2023, EXCLI journal.

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

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

Recognition of DNA Splice Junction via Machine Learning Approaches

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2005 .

A novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptides

V. Lee, Phasit Charoenkwan, C. Nantasenamat, 2021, Scientific Reports.

Proteochemometric Modeling for Drug Repositioning

Nalini Schaduangrat, Chanin Nantasenamat, Nuttapat Anuwongcharoen, 2019, In Silico Drug Design.

Influence of logBB cut-off on the prediction of blood-brain barrier permeability

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2013 .

UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning

Balachandran Manavalan, Phasit Charoenkwan, M. Hasan, 2021, International Journal of Molecular Sciences.

iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides

Chanin Nantasenamat, Watshara Shoombuatong, Phasit Charoenkwan, 2020, J. Chem. Inf. Model..

Roles of cysteine residue on chimeric green fluorescent protein: implications on protein solubilization and fluorescent property

C. Nantasenamat, C. Isarankura-Na-Ayudhya, V. Prachayasittikul, 2009 .

Synthesis and Theoretical Study of Molecularly Imprinted Nanospheres for Recognition of Tocopherols

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2009, Molecules.

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

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

The decreasing prevalence of the thyroid ima artery: a systematic review and machine learning assisted meta-analysis.

C. Nantasenamat, Krai Meemon, A. Suwannakhan, 2021, Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft.

iTTCA-Hybrid: Improved and robust identification of tumor T cell antigens by utilizing hybrid feature representation.

Chanin Nantasenamat, Watshara Shoombuatong, Phasit Charoenkwan, 2020, Analytical biochemistry.

Computational study on the origin of the cancer immunotherapeutic potential of B and T cell epitope peptides.

Chanin Nantasenamat, Hao Li, Nalini Schaduangrat, 2017, Molecular bioSystems.

Large-scale comparative review and assessment of computational methods for phage virion proteins identification

Phasit Charoenkwan, C. Nantasenamat, W. Shoombuatong, 2022, EXCLI journal.

StackDPPIV: a novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides.

P. Lio’, Balachandran Manavalan, Phasit Charoenkwan, 2021, Methods.

Review and comparative analysis of machine learning-based predictors for predicting and analyzing of anti-angiogenic peptides.

Phasit Charoenkwan, M. Hasan, C. Nantasenamat, 2021, Current medicinal chemistry.

StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides

Chanin Nantasenamat, Phasit Charoenkwan, Watshara Shoombuatong, 2021, Briefings Bioinform..

iDPPIV-SCM: A sequence-based predictor for identifying and analyzing dipeptidyl peptidase IV (DPP-IV) inhibitory peptides using a scoring card method.

Chanin Nantasenamat, Phasit Charoenkwan, Sakawrat Kanthawong, 2020, Journal of proteome research.

Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation

Chanin Nantasenamat, Watshara Shoombuatong, Phasit Charoenkwan, 2020, Journal of Computer-Aided Molecular Design.

iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou’s 5-Steps Rule and Informative Physicochemical Properties

Nalini Schaduangrat, Chanin Nantasenamat, Watshara Shoombuatong, 2019, International journal of molecular sciences.

iAMY-SCM: Improved prediction and analysis of amyloid proteins using a scoring card method with propensity scores of dipeptides.

Phasit Charoenkwan, M. Hasan, C. Nantasenamat, 2020, Genomics.

Towards the Revival of Interpretable QSAR Models

Apilak Worachartcheewan, Chanin Nantasenamat, Wiwat Owasirikul, 2017 .

Prediction of aromatase inhibitory activity using the efficient linear method (ELM)

Virapong Prachayasittikul, Chanin Nantasenamat, Veda Prachayasittikul, 2015, EXCLI journal.

Development and performance of CUHAS-ROBUST application for pulmonary rifampicin-resistance tuberculosis screening in Indonesia

C. Nantasenamat, S. Pongpanich, B. Herman, 2021, PloS one.

Antioxidant, cytotoxicity, and QSAR study of 1-adamantylthio derivatives of 3-picoline and phenylpyridines

C. Nantasenamat, V. Prachayasittikul, Tanawut Tantimongcolwat, 2012, Medicinal Chemistry Research.

Beneficial Effects of Cyclic Ether 2-Butoxytetrahydrofuran from Sea Cucumber Holothuria scabra against Aβ Aggregate Toxicity in Transgenic Caenorhabditis elegans and Potential Chemical Interaction

Nakorn Niamnont, C. Nantasenamat, P. Sobhon, 2021, Molecules.

PepBio: predicting the bioactivity of host defense peptides

Chanin Nantasenamat, Watshara Shoombuatong, Saw Simeon, 2017 .

StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors

Chanin Nantasenamat, Phasit Charoenkwan, Watshara Shoombuatong, 2021, Journal of Computer-Aided Molecular Design.

HCVpred: A web server for predicting the bioactivity of hepatitis C virus NS5B inhibitors

Chartchalerm Isarankura-Na-Ayudhya, Nalini Schaduangrat, Chanin Nantasenamat, 2020, J. Comput. Chem..

Exploring the chemical space of influenza neuraminidase inhibitors

Virapong Prachayasittikul, Chanin Nantasenamat, Watshara Shoombuatong, 2016, PeerJ.

Toward insights on antimicrobial selectivity of host defense peptides via machine learning model interpretation.

Hao Li, C. Nantasenamat, Thinam Tamang, 2021, Genomics.

Probing the origins of human acetylcholinesterase inhibition via QSAR modeling and molecular docking

Virapong Prachayasittikul, Chanin Nantasenamat, Watshara Shoombuatong, 2016, PeerJ.

Extending proteochemometric modeling for unraveling the sorption behavior of compound-soil interaction

Virapong Prachayasittikul, Chanin Nantasenamat, Watshara Shoombuatong, 2016 .

Proteochemometric model for predicting the inhibition of penicillin-binding proteins

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Jarl E. S. Wikberg, 2015, Journal of Computer-Aided Molecular Design.

A practical overview of quantitative structure-activity relationship

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2009 .

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

Apilak Worachartcheewan, Virapong Prachayasittikul, Chanin Nantasenamat, 2014 .

Trapping of human hemoglobin by haptoglobin: molecular mechanisms and clinical applications.

C. Nantasenamat, L. Bulow, Sandeep Chakane, 2013, Antioxidants & redox signaling.

HemoPred: a web server for predicting the hemolytic activity of peptides.

Virapong Prachayasittikul, Chanin Nantasenamat, Watshara Shoombuatong, 2017, Future medicinal chemistry.

Clinical validation of urine-based Xpert® MTB/RIF assay for the diagnosis of urogenital tuberculosis: a systemic review and meta-analysis.

A. Malik, C. Nantasenamat, Sarfraz Ahmed, 2020, International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases.

Synthesis, Plasmodium falciparum Inhibitory Activity, Cytotoxicity and Solubility of N2,N4-Disubstituted Quinazoline-2,4-diamines.

M. Gleeson, C. Nantasenamat, S. Hannongbua, 2018, Medicinal chemistry (Shariqah (United Arab Emirates)).

QSAR Study of H1N1 Neuraminidase Inhibitors from Influenza a Virus

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

A novel peptide isolated from garlic shows anticancer effect against leukemic cell lines via interaction with Bcl‐2 family proteins

C. Nantasenamat, S. Roytrakul, Narumon Phaonakrop, 2021, Chemical biology & drug design.

Rational design of novel sirtuin 1 activators via structure-activity insights from application of QSAR modeling

Chanin Nantasenamat, Reny Pratiwi, Veda Prachayasittikul, 2019, EXCLI journal.

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.

Molecular Modeling of the Human Hemoglobin-Haptoglobin Complex Sheds Light on the Protective Mechanisms of Haptoglobin

Virapong Prachayasittikul, Chanin Nantasenamat, C. Nantasenamat, 2013, PloS one.

Predicting antimicrobial activities of benzimidazole derivatives

C. Nantasenamat, C. Isarankura-Na-Ayudhya, V. Prachayasittikul, 2013, Medicinal Chemistry Research.

Maximizing computational tools for successful drug discovery

Virapong Prachayasittikul, Chanin Nantasenamat, C. Nantasenamat, 2015, Expert opinion on drug discovery.

Cytotoxicity and QSAR study of (thio)ureas derived from phenylalkylamines and pyridylalkylamines

C. Nantasenamat, V. Prachayasittikul, S. Ruchirawat, 2013, Medicinal Chemistry Research.

Prediction of GFP spectral properties using artificial neural network

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2007, J. Comput. Chem..

Towards understanding aromatase inhibitory activity via QSAR modeling

Chanin Nantasenamat, Watshara Shoombuatong, Nalini Schaduangrat, 2018, EXCLI journal.

Exploring the chemical space of aromatase inhibitors

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

Exploring the origins of structure–oxygen affinity relationship of human haemoglobin allosteric effector

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2015 .

Quantitative prediction of imprinting factor of molecularly imprinted polymers by artificial neural network

Virapong Prachayasittikul, Chanin Nantasenamat, Thanakorn Naenna, 2005, J. Comput. Aided Mol. Des..

Navigating the chemical space of dipeptidyl peptidase-4 inhibitors

Virapong Prachayasittikul, Chanin Nantasenamat, Veda Prachayasittikul, 2015, Drug design, development and therapy.

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.

g the bioactivity of host defense peptides †

Hao Li, Chanin Nantasenamat, Watshara Shoombuatong, 2017 .

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

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

Best Practices for Constructing Reproducible QSAR Models

Chanin Nantasenamat, C. Nantasenamat, 2020 .

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.

ERpred: a web server for the prediction of subtype-specific estrogen receptor antagonists

C. Nantasenamat, A. Malik, N. Schaduangrat, 2021, PeerJ.

QSAR model of the quorum-quenching N-acyl-homoserine lactone lactonase activity

Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul, Chanin Nantasenamat, 2008 .

A novel potent autophagy inhibitor ECDD-S27 targets vacuolar ATPase and inhibits cancer cell survival

P. Tuchinda, C. Nantasenamat, S. Borwornpinyo, 2019, Scientific Reports.

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

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

Synthesis and computational investigation of molecularly imprinted nanospheres for selective recognition of alpha-tocopherol succinate

C. Nantasenamat, C. Isarankura-Na-Ayudhya, V. Prachayasittikul, 2013, EXCLI journal.

Prediction of GFP spectral properties using artificial neural network

Natta Tansila, C. Nantasenamat, C. Isarankura-Na-Ayudhya, 2007, J. Comput. Chem..

Correction: Privileged substructures for anti-sickling activity via cheminformatic analysis

C. Nantasenamat, V. Prachayasittikul, Nuttapat Anuwongcharoen, 2018, RSC advances.

osFP: a web server for predicting the oligomeric states of fluorescent proteins

Virapong Prachayasittikul, Jarl E. S. Wikberg, Chanin Nantasenamat, 2016, Journal of Cheminformatics.

Probing the origins of aromatase inhibitory activity of disubstituted coumarins via QSAR and molecular docking

C. Nantasenamat, V. Prachayasittikul, A. Worachartcheewan, 2014, EXCLI journal.

Machine Learning Approaches to Investigate the Structure–Activity Relationship of Angiotensin-Converting Enzyme Inhibitors

C. Nantasenamat, Theeraphon Piacham, Nuttapat Anuwongcharoen, 2023, ACS omega.