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Browsing by Author Md Mehedi Hasan
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Showing results 3 to 15 of 15
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Issue Date
Title
Author(s)
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
1-Jul-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
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
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
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
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
28-Dec-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
1-Oct-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
1-Feb-2022
Review and Comparative Analysis of Machine Learning-based Predictors for Predicting and Analyzing Anti-angiogenic Peptides
Phasit Charoenkwan
;
Wararat Chiangjong
;
Md Mehedi Hasan
;
Chanin Nantasenamat
;
Watshara Shoombuatong
1-Dec-2022
SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins
Saeed Ahmad
;
Phasit Charoenkwan
;
Julian M.W. Quinn
;
Mohammad Ali Moni
;
Md Mehedi Hasan
;
Pietro Lio’
;
Watshara Shoombuatong
1-Aug-2022
StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides
Phasit Charoenkwan
;
Chanin Nantasenamat
;
Md Mehedi Hasan
;
Mohammad Ali Moni
;
Pietro Lio'
;
Balachandran Manavalan
;
Watshara Shoombuatong
5-Nov-2021
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides
Phasit Charoenkwan
;
Wararat Chiangjong
;
Chanin Nantasenamat
;
Md Mehedi Hasan
;
Balachandran Manavalan
;
Watshara Shoombuatong
1-Dec-2021
Umpred-frl: A new approach for accurate prediction of umami peptides using feature representation learning
Phasit Charoenkwan
;
Chanin Nantasenamat
;
Md Mehedi Hasan
;
Mohammad Ali Moni
;
Balachandran Manavalan
;
Watshara Shoombuatong