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Chanin Nantasenamat
Chanin Nantasenamat
ex-Professor, Faculty of Medical Technology, Mahidol University, Thailand
Verified email at mahidol.edu - Homepage
Title
Cited by
Cited by
Year
A practical overview of quantitative structure-activity relationship
C Isarankura-Na-Ayudhya, T Naenna, C Nantasenamat, ...
3562009
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
2482014
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
2232010
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
2122009
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
1362019
Towards reproducible computational drug discovery
N Schaduangrat, S Lampa, S Simeon, MP Gleeson, O Spjuth, ...
Journal of cheminformatics 12, 1-30, 2020
1322020
Molecular docking of aromatase inhibitors
N Suvannang, C Nantasenamat, C Isarankura-Na-Ayudhya, ...
Molecules 16 (5), 3597-3617, 2011
1152011
Unraveling the bioactivity of anticancer peptides as deduced from machine learning
W Shoombuatong, N Schaduangrat, C Nantasenamat
EXCLI journal 17, 734, 2018
1102018
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
1082014
Copper complexes of nicotinic-aromatic carboxylic acids as superoxide dismutase mimetics
T Suksrichavalit, S Prachayasittikul, T Piacham, ...
Molecules 13 (12), 3040-3056, 2008
1042008
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
1012021
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
972007
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
942015
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
912021
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
912019
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
902005
Quantitative structure-imprinting factor relationship of molecularly imprinted polymers
C Nantasenamat, C Isarankura-Na-Ayudhya, T Naenna, ...
Biosensors and Bioelectronics 22 (12), 3309-3317, 2007
882007
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
832017
Computer-aided drug design of bioactive natural products
V Prachayasittikul, A Worachartcheewan, W Shoombuatong, ...
Current Topics in Medicinal Chemistry 15 (18), 1780-1800, 2015
832015
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
812020
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