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Browsing by Author Md Mehedi Hasan

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Showing results 1 to 14 of 14
Issue DateTitleAuthor(s)
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
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-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
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
2-Feb-2021Pup-fuse: Prediction of protein pupylation sites by integrating multiple sequence representationsFirda Nurul Auliah; Andi Nur Nilamyani; Watshara Shoombuatong; Md Ashad Alam; Md Mehedi Hasan; Hiroyuki Kurata; Kyushu Institute of Technology; Tulane University; Japan Society for the Promotion of Science; Mahidol University