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Browsing by Author Md Mehedi Hasan

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Issue DateTitleAuthor(s)
1-Sep-2021BERT4Bitter: A bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptidesPhasit Charoenkwan; Chanin Nantasenamat; Md Mehedi Hasan; Balachandran Manavalan; Watshara Shoombuatong; Kyushu Institute of Technology; Ajou University School of Medicine; Tulane University School of Medicine; Mahidol University; Chiang Mai University
1-Jul-2021Critical evaluation of web-based DNA N6-methyladenine site prediction toolsMd Mehedi Hasan; Watshara Shoombuatong; Hiroyuki Kurata; Balachandran Manavalan; Kyushu Institute of Technology; Ajou University School of Medicine; Mahidol University
1-Jun-2022DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteinsMd Faruk Hosen; S. M.Hasan Mahmud; Kawsar Ahmed; Wenyu Chen; Mohammad Ali Moni; Hong Wen Deng; Watshara Shoombuatong; Md Mehedi Hasan; Mawlana Bhashani Science and Technology University; American International University - Bangladesh; The University of Queensland; Tulane University School of Medicine; Mahidol University; University of Electronic Science and Technology of China
3-Jan-2022EMPIRICAL COMPARISON AND ANALYSIS OF MACHINE LEARNING-BASED PREDICTORS FOR PREDICTING AND ANALYZING OF THERMOPHILIC PROTEINSPhasit Charoenkwan; Nalini Schaduangrat; Md Mehedi Hasan; Mohammad Ali Moni; Pietro Lió; Watshara Shoombuatong; Department of Computer Science and Technology; The University of Queensland; Tulane University School of Medicine; Mahidol University; Chiang Mai University
1-Jan-2020Evolution of sequence-based bioinformatics tools for protein-protein interaction predictionMst Shamima Khatun; Watshara Shoombuatong; Md Mehedi Hasan; Hiroyuki Kurata; Kyushu Institute of Technology; Japan Society for the Promotion of Science; Mahidol University
1-Jun-2020HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representationMd Mehedi Hasan; Nalini Schaduangrat; Shaherin Basith; Gwang Lee; Watshara Shoombuatong; Balachandran Manavalan; Kyushu Institute of Technology; Ajou University, School of Medicine; Japan Society for the Promotion of Science; Mahidol University; Ajou University
1-Jan-2020i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemesMd Mehedi Hasan; Balachandran Manavalan; Watshara Shoombuatong; Mst Shamima Khatun; Hiroyuki Kurata; Kyushu Institute of Technology; Ajou University, School of Medicine; Japan Society for the Promotion of Science; Mahidol University
1-Jan-2020i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representationMd Mehedi Hasan; Balachandran Manavalan; Watshara Shoombuatong; Mst Shamima Khatun; Hiroyuki Kurata; Kyushu Institute of Technology; Ajou University, School of Medicine; Japan Society for the Promotion of Science; Mahidol University
1-Jan-2020iAMY-SCM: Improved prediction and analysis of amyloid proteins using a scoring card method with propensity scores of dipeptidesPhasit Charoenkwan; Sakawrat Kanthawong; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Kyushu Institute of Technology; Khon Kaen University; Mahidol University; Chiang Mai University
1-Jan-2020iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptidesPhasit Charoenkwan; Janchai Yana; Nalini Schaduangrat; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Chiang Mai Rajabhat University; Kyushu Institute of Technology; Mahidol University; Chiang Mai University
2-Aug-2021Ibitter‐fuse: A novel sequence‐based bitter peptide predictor by fusing multi‐view featuresPhasit Charoenkwan; Chanin Nantasenamat; Md Mehedi Hasan; Mohammad Ali Moni; Pietro Lio; Watshara Shoombuatong; Department of Computer Science and Technology; The University of Queensland; Tulane University School of Medicine; Mahidol University; Chiang Mai University
1-Dec-2021Improved prediction and characterization of anticancer activities of peptides using a novel flexible scoring card methodPhasit Charoenkwan; Wararat Chiangjong; Vannajan Sanghiran Lee; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Ramathibodi Hospital; Kyushu Institute of Technology; University of Malaya; Mahidol University; Chiang Mai University
1-Jan-2021In silico approaches for the prediction and analysis of antiviral peptides: A reviewPhasit Charoenkwan; Nuttapat Anuwongcharoen; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Kyushu Institute of Technology; Mahidol University; Chiang Mai University
1-Jan-2021IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representationsMd Mehedi Hasan; Md Ashad Alam; Watshara Shoombuatong; Hiroyuki Kurata; Kyushu Institute of Technology; Tulane University; Japan Society for the Promotion of Science; Mahidol University
15-Jun-2020iTTCA-Hybrid: Improved and robust identification of tumor T cell antigens by utilizing hybrid feature representationPhasit Charoenkwan; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Kyushu Institute of Technology; Mahidol University; Chiang Mai University
1-Jan-2020iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of DipeptidesPhasit Charoenkwan; Janchai Yana; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Chiang Mai Rajabhat University; Kyushu Institute of Technology; Mahidol University; Chiang Mai University
1-Jan-2020Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representationPhasit Charoenkwan; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Kyushu Institute of Technology; Mahidol University; Chiang Mai University
5-Nov-2021NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learningMd Mehedi Hasan; Md Ashad Alam; Watshara Shoombuatong; Hong Wen Deng; Balachandran Manavalan; Hiroyuki Kurata; Kyushu Institute of Technology; Ajou University School of Medicine; Japan Society for the Promotion of Science; Tulane University School of Medicine; Mahidol University
1-Mar-2021Prednts: Improved and robust prediction of nitrotyrosine sites by integrating multiple sequence featuresAndi Nur Nilamyani; Firda Nurul Auliah; Mohammad Ali Moni; Watshara Shoombuatong; Md Mehedi Hasan; Hiroyuki Kurata; Kyushu Institute of Technology; Japan Society for the Promotion of Science; Mahidol University; UNSW Medicine
1-Jan-2020ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representationsMst Shamima Khatun; Md Mehedi Hasan; Watshara Shoombuatong; Hiroyuki Kurata; Kyushu Institute of Technology; Japan Society for the Promotion of Science; Mahidol University