| NeurphologyJ: an automatic neuronal morphology quantification method and its application in pharmacological discovery SY Ho, CY Chao, HL Huang, TW Chiu, P Charoenkwan, E Hwang BMC bioinformatics 12, 1-18, 2011 | 173 | 2011 |
| 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 | 149 | 2021 |
| 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 | 120 | 2020 |
| 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 | 118 | 2021 |
| 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 | 102 | 2020 |
| SCMCRYS: predicting protein crystallization using an ensemble scoring card method with estimating propensity scores of P-collocated amino acid pairs P Charoenkwan, W Shoombuatong, HC Lee, J Chaijaruwanich, ... PloS one 8 (9), e72368, 2013 | 88 | 2013 |
| iDPPIV-SCM: a sequence-based predictor for identifying and analyzing dipeptidyl peptidase IV (DPP-IV) inhibitory peptides using a scoring card method P Charoenkwan, S Kanthawong, C Nantasenamat, MM Hasan, ... Journal of proteome research 19 (10), 4125-4136, 2020 | 84 | 2020 |
| Prediction and analysis of protein solubility using a novel scoring card method with dipeptide composition HL Huang, P Charoenkwan, TF Kao, HC Lee, FL Chang, WL Huang, ... BMC bioinformatics 13, 1-14, 2012 | 77 | 2012 |
| Improved prediction and characterization of anticancer activities of peptides using a novel flexible scoring card method P Charoenkwan, W Chiangjong, VS Lee, C Nantasenamat, MM Hasan, ... Scientific reports 11 (1), 3017, 2021 | 70 | 2021 |
| UMPred-FRL: A new approach for accurate prediction of umami peptides using feature representation learning P Charoenkwan, C Nantasenamat, MM Hasan, MA Moni, B Manavalan, ... International journal of molecular sciences 22 (23), 13124, 2021 | 65 | 2021 |
| Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation P Charoenkwan, C Nantasenamat, MM Hasan, W Shoombuatong Journal of Computer-Aided Molecular Design 34 (10), 1105-1116, 2020 | 65 | 2020 |
| StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides P Charoenkwan, C Nantasenamat, MM Hasan, MA Moni, B Manavalan, ... Methods 204, 189-198, 2022 | 63 | 2022 |
| iQSP: a sequence-based tool for the prediction and analysis of quorum sensing peptides via Chou’s 5-steps rule and informative physicochemical properties P Charoenkwan, N Schaduangrat, C Nantasenamat, T Piacham, ... International Journal of Molecular Sciences 21 (1), 75, 2019 | 63 | 2019 |
| iTTCA-Hybrid: Improved and robust identification of tumor T cell antigens by utilizing hybrid feature representation P Charoenkwan, C Nantasenamat, MM Hasan, W Shoombuatong Analytical biochemistry 599, 113747, 2020 | 53 | 2020 |
| PVPred-SCM: improved prediction and analysis of phage virion proteins using a scoring card method P Charoenkwan, S Kanthawong, N Schaduangrat, J Yana, ... Cells 9 (2), 353, 2020 | 52 | 2020 |
| AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning P Charoenkwan, S Ahmed, C Nantasenamat, JMW Quinn, MA Moni, ... Scientific reports 12 (1), 7697, 2022 | 50 | 2022 |
| SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins P Charoenkwan, N Schaduangrat, MA Moni, B Manavalan, ... Computers in Biology and Medicine 146, 105704, 2022 | 46 | 2022 |
| iBitter-fuse: a novel sequence-based bitter peptide predictor by fusing multi-view features P Charoenkwan, C Nantasenamat, MM Hasan, MA Moni, P Lio’, ... International Journal of Molecular Sciences 22 (16), 8958, 2021 | 45 | 2021 |
| iAMY-SCM: Improved prediction and analysis of amyloid proteins using a scoring card method with propensity scores of dipeptides P Charoenkwan, S Kanthawong, C Nantasenamat, MM Hasan, ... Genomics 113 (1), 689-698, 2021 | 43 | 2021 |
| A novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptides P Charoenkwan, W Chotpatiwetchkul, VS Lee, C Nantasenamat, ... Scientific Reports 11 (1), 23782, 2021 | 42 | 2021 |
