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Browsing by Author Md Mehedi Hasan

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Issue Date	Title	Author(s)
1-Sep-2021	BERT4Bitter: A bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides	Phasit 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-2021	Critical evaluation of web-based DNA N6-methyladenine site prediction tools	Md Mehedi Hasan; Watshara Shoombuatong; Hiroyuki Kurata; Balachandran Manavalan; Kyushu Institute of Technology; Ajou University School of Medicine; Mahidol University
1-Jun-2022	DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins	Md 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-2022	EMPIRICAL COMPARISON AND ANALYSIS OF MACHINE LEARNING-BASED PREDICTORS FOR PREDICTING AND ANALYZING OF THERMOPHILIC PROTEINS	Phasit 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-2020	Evolution of sequence-based bioinformatics tools for protein-protein interaction prediction	Mst Shamima Khatun; Watshara Shoombuatong; Md Mehedi Hasan; Hiroyuki Kurata; Kyushu Institute of Technology; Japan Society for the Promotion of Science; Mahidol University
1-Jun-2020	HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation	Md 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-2020	i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemes	Md 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-2020	i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation	Md 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-2020	iAMY-SCM: Improved prediction and analysis of amyloid proteins using a scoring card method with propensity scores of dipeptides	Phasit Charoenkwan; Sakawrat Kanthawong; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Kyushu Institute of Technology; Khon Kaen University; Mahidol University; Chiang Mai University
1-Jan-2020	iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptides	Phasit 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-2021	Ibitter‐fuse: A novel sequence‐based bitter peptide predictor by fusing multi‐view features	Phasit 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-2021	Improved prediction and characterization of anticancer activities of peptides using a novel flexible scoring card method	Phasit 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-2021	In silico approaches for the prediction and analysis of antiviral peptides: A review	Phasit Charoenkwan; Nuttapat Anuwongcharoen; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Kyushu Institute of Technology; Mahidol University; Chiang Mai University
1-Jan-2021	IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations	Md 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-2020	iTTCA-Hybrid: Improved and robust identification of tumor T cell antigens by utilizing hybrid feature representation	Phasit Charoenkwan; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Kyushu Institute of Technology; Mahidol University; Chiang Mai University
1-Jan-2020	iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides	Phasit 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-2020	Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation	Phasit Charoenkwan; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Kyushu Institute of Technology; Mahidol University; Chiang Mai University
5-Nov-2021	NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning	Md 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-2021	Prednts: Improved and robust prediction of nitrotyrosine sites by integrating multiple sequence features	Andi 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-2020	ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations	Mst Shamima Khatun; Md Mehedi Hasan; Watshara Shoombuatong; Hiroyuki Kurata; Kyushu Institute of Technology; Japan Society for the Promotion of Science; Mahidol University

Showing results 1 to 20 of 26 next >