A practical overview of quantitative structure-activity relationship C Isarankura-Na-Ayudhya, T Naenna, C Nantasenamat, ... | 376 | 2009 |
Synthesis, biological evaluation and molecular docking of novel chalcone–coumarin hybrids as anticancer and antimalarial agents R Pingaew, A Saekee, P Mandi, C Nantasenamat, S Prachayasittikul, ... European Journal of Medicinal Chemistry 85, 65-76, 2014 | 258 | 2014 |
Advances in computational methods to predict the biological activity of compounds C Nantasenamat, C Isarankura-Na-Ayudhya, V Prachayasittikul Expert opinion on drug discovery 5 (7), 633-654, 2010 | 236 | 2010 |
Copper complexes of pyridine derivatives with superoxide scavenging and antimicrobial activities T Suksrichavalit, S Prachayasittikul, C Nantasenamat, ... European journal of medicinal chemistry 44 (8), 3259-3265, 2009 | 217 | 2009 |
ACPred: a computational tool for the prediction and analysis of anticancer peptides N Schaduangrat, C Nantasenamat, V Prachayasittikul, W Shoombuatong Molecules 24 (10), 1973, 2019 | 158 | 2019 |
Towards reproducible computational drug discovery N Schaduangrat, S Lampa, S Simeon, MP Gleeson, O Spjuth, ... Journal of cheminformatics 12, 1-30, 2020 | 156 | 2020 |
BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides P Charoenkwan, C Nantasenamat, MM Hasan, B Manavalan, ... Bioinformatics 37 (17), 2556-2562, 2021 | 120 | 2021 |
Unraveling the bioactivity of anticancer peptides as deduced from machine learning W Shoombuatong, N Schaduangrat, C Nantasenamat EXCLI journal 17, 734, 2018 | 118 | 2018 |
Synthesis, anticancer activity and QSAR study of 1, 4-naphthoquinone derivatives V Prachayasittikul, R Pingaew, A Worachartcheewan, C Nantasenamat, ... European Journal of Medicinal Chemistry 84, 247-263, 2014 | 118 | 2014 |
Molecular docking of aromatase inhibitors N Suvannang, C Nantasenamat, C Isarankura-Na-Ayudhya, ... Molecules 16 (5), 3597-3617, 2011 | 115 | 2011 |
Copper complexes of nicotinic-aromatic carboxylic acids as superoxide dismutase mimetics T Suksrichavalit, S Prachayasittikul, T Piacham, ... Molecules 13 (12), 3040-3056, 2008 | 108 | 2008 |
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides P Charoenkwan, W Chiangjong, C Nantasenamat, MM Hasan, ... Briefings in bioinformatics 22 (6), bbab172, 2021 | 106 | 2021 |
EDTA-induced membrane fluidization and destabilization: biophysical studies on artificial lipid membranes V Prachayasittikul, C Isarankura-Na-Ayudhya, T Tantimongcolwat, ... Acta biochimica et biophysica Sinica 39 (11), 901-913, 2007 | 102 | 2007 |
iUmami-SCM: a novel sequence-based predictor for prediction and analysis of umami peptides using a scoring card method with propensity scores of dipeptides P Charoenkwan, J Yana, C Nantasenamat, MM Hasan, W Shoombuatong Journal of Chemical Information and Modeling 60 (12), 6666-6678, 2020 | 101 | 2020 |
Meta-iAVP: a sequence-based meta-predictor for improving the prediction of antiviral peptides using effective feature representation N Schaduangrat, C Nantasenamat, V Prachayasittikul, W Shoombuatong International journal of molecular sciences 20 (22), 5743, 2019 | 101 | 2019 |
Novel 1, 4-naphthoquinone-based sulfonamides: Synthesis, QSAR, anticancer and antimalarial studies R Pingaew, V Prachayasittikul, A Worachartcheewan, C Nantasenamat, ... European Journal of Medicinal Chemistry 103, 446-459, 2015 | 97 | 2015 |
HemoPred: a web server for predicting the hemolytic activity of peptides TS Win, AA Malik, V Prachayasittikul, JE S Wikberg, C Nantasenamat, ... Future medicinal chemistry 9 (3), 275-291, 2017 | 96 | 2017 |
iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptides P Charoenkwan, J Yana, N Schaduangrat, C Nantasenamat, MM Hasan, ... Genomics 112 (4), 2813-2822, 2020 | 92 | 2020 |
Quantitative prediction of imprinting factor of molecularly imprinted polymers by artificial neural network C Nantasenamat, T Naenna, CIN Ayudhya, V Prachayasittikul Journal of computer-aided molecular design 19, 509-524, 2005 | 92 | 2005 |
Computer-aided drug design of bioactive natural products V Prachayasittikul, A Worachartcheewan, W Shoombuatong, ... Current Topics in Medicinal Chemistry 15 (18), 1780-1800, 2015 | 91 | 2015 |