| HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation MM Hasan, N Schaduangrat, S Basith, G Lee, W Shoombuatong, ... Bioinformatics, 2020 | 185 | 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 | 153 | 2021 |
| Antifungal effects of plant extracts on seed-borne fungi of wheat seed regarding seed germination, seedling health and vigour index. MM Hasan, SP Chowdhury, SA Shahidul Alam, B Hossain, MS Alam | 137 | 2005 |
| PreAIP: computational prediction of anti-inflammatory peptides by integrating multiple complementary features MS Khatun, MM Hasan, H Kurata Frontiers in genetics 10, 129, 2019 | 136 | 2019 |
| 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 | 122 | 2020 |
| Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine … MM Hasan, S Basith, MS Khatun, G Lee, B Manavalan, H Kurata Briefings in Bioinformatics 22 (3), bbaa202, 2021 | 121 | 2021 |
| 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, 2021 | 119 | 2021 |
| SuccinSite: a computational tool for the prediction of protein succinylation sites by exploiting the amino acid patterns and properties MM Hasan, S Yang, Y Zhou, MNH Mollah Molecular BioSystems 12 (3), 786-795, 2016 | 105 | 2016 |
| 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 | 104 | 2020 |
| LSTM-PHV: Prediction of human-virus protein-protein interactions by LSTM with word2vec' S Tsukiyama, MM Hasan, S Fujii, H Kurata Briefings in Bioinformatics, 2021 | 90 | 2021 |
| 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 | 85 | 2020 |
| i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genome MM Hasan, B Manavalan, MS Khatun, H Kurata International journal of biological macromolecules 157, 752-758, 2020 | 84 | 2020 |
| Computational identification of protein pupylation sites by using profile-based composition of k-spaced amino acid pairs MM Hasan, Y Zhou, X Lu, J Li, J Song, Z Zhang PloS one 10 (6), e0129635, 2015 | 79 | 2015 |
| i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation MM Hasan, B Manavalan, W Shoombuatong, MS Khatun, H Kurata Plant molecular biology 103, 225-234, 2020 | 78 | 2020 |
| 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 | 73 | 2021 |
| GPSuc: Global Prediction of Generic and Species-specific Succinylation Sites by aggregating multiple sequence features MM Hasan, H Kurata PloS one 13 (10), e0200283, 2018 | 73 | 2018 |
| NeuroPred-FRL: An Interpretable Prediction Model for Identifying Neuropeptide using Feature Representation Learning MM Hasan, MA Alam, W Shoombuatong, HW Deng, B Manavalan, ... Briefings in Bioinformatics, 2021 | 72 | 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, 2022 | 68 | 2022 |
| i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemes MM Hasan, B Manavalan, W Shoombuatong, MS Khatun, H Kurata Computational and structural biotechnology journal 18, 906-912, 2020 | 67 | 2020 |
| Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy MM Hasan, S Tsukiyama, JY Cho, H Kurata, MA Alam, X Liu, ... Molecular Therapy 30 (8), 2856-2867, 2022 | 65 | 2022 |
Watshara ShoombuatongAssociate Professor of Bioinformatics, Mahidol Universitymahidol.ac.th üzerinde doğrulanmış e-posta adresine sahip