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Browsing by Author Chanin Nantasenamat
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Showing results 1 to 20 of 22
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Issue Date
Title
Author(s)
1-Dec-2022
AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning
Phasit Charoenkwan
;
Saeed Ahmed
;
Chanin Nantasenamat
;
Julian M.W. Quinn
;
Mohammad Ali Moni
;
Pietro Lio’
;
Watshara Shoombuatong
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
1-Apr-2020
Correction: iQSP: A sequence-based tool for the prediction and analysis of quorum sensing peptides via chou’s 5-steps rule and informative physicochemical properties (Int. J. Mol. Sci. 2020, 21, 75)
Phasit Charoenkwan
;
Nalini Schaduangrat
;
Chanin Nantasenamat
;
Theeraphon Piacham
;
Watshara Shoombuatong
1-Jun-2019
HIVCoR: A sequence-based tool for predicting HIV-1 CRF01_AE coreceptor usage
Sayamon Hongjaisee
;
Chanin Nantasenamat
;
Tanawan Samleerat Carraway
;
Watshara Shoombuatong
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
2-Oct-2020
IDPPIV-SCM: A sequence-based predictor for identifying and analyzing dipeptidyl peptidase IV (DPP-IV) inhibitory peptides using a scoring card method
Watshara Shoombuatong
;
Phasit Charoenkwan
;
Sakawrat Kanthawong
;
Chanin Nantasenamat
;
M. Mehedi Hasan
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
1-Jan-2020
IQSP: A sequence-based tool for the prediction and analysis of quorum sensing peptides via chou’s 5-steps rule and informative physicochemical properties
Phasit Charoenkwan
;
Nalini Schaduangrat
;
Chanin Nantasenamat
;
Theeraphon Piacham
;
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
3-Jan-2022
LARGE-SCALE COMPARATIVE REVIEW AND ASSESSMENT OF COMPUTATIONAL METHODS FOR PHAGE VIRION PROTEINS IDENTIFICATION
Muhammad Kabir
;
Chanin Nantasenamat
;
Sakawrat Kanthawong
;
Phasit Charoenkwan
;
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-Dec-2021
A novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptides
Phasit Charoenkwan
;
Warot Chotpatiwetchkul
;
Vannajan Sanghiran Lee
;
Chanin Nantasenamat
;
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-Jan-2022
SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids
Phasit Charoenkwan
;
Wararat Chiangjong
;
Chanin Nantasenamat
;
Mohammad Ali Moni
;
Pietro Lio’
;
Balachandran Manavalan
;
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
1-Oct-2021
StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors
Aijaz Ahmad Malik
;
Warot Chotpatiwetchkul
;
Chuleeporn Phanus-umporn
;
Chanin Nantasenamat
;
Phasit Charoenkwan
;
Watshara Shoombuatong