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Browsing by Author Md Mehedi Hasan

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Showing results 1 to 15 of 15
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
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
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
1-Jul-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
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
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
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
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
28-Dec-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
1-Oct-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
1-Feb-2022Review and Comparative Analysis of Machine Learning-based Predictors for Predicting and Analyzing Anti-angiogenic PeptidesPhasit Charoenkwan; Wararat Chiangjong; Md Mehedi Hasan; Chanin Nantasenamat; Watshara Shoombuatong
1-Dec-2022SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteinsSaeed Ahmad; Phasit Charoenkwan; Julian M.W. Quinn; Mohammad Ali Moni; Md Mehedi Hasan; Pietro Lio’; Watshara Shoombuatong
1-Aug-2022StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptidesPhasit Charoenkwan; Chanin Nantasenamat; Md Mehedi Hasan; Mohammad Ali Moni; Pietro Lio'; Balachandran Manavalan; Watshara Shoombuatong
5-Nov-2021StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptidesPhasit Charoenkwan; Wararat Chiangjong; Chanin Nantasenamat; Md Mehedi Hasan; Balachandran Manavalan; Watshara Shoombuatong
1-Dec-2021Umpred-frl: A new approach for accurate prediction of umami peptides using feature representation learningPhasit Charoenkwan; Chanin Nantasenamat; Md Mehedi Hasan; Mohammad Ali Moni; Balachandran Manavalan; Watshara Shoombuatong
Showing results 1 to 15 of 15