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Browsing by Author Md Mehedi Hasan
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Showing results 1 to 20 of 26
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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