Watshara Shoombuatong

Author

Mahidol University ORCID

Also Known As

Dr. Watshara Shoombuatong, Shoombuatong, Watshara, W. Shoombuatong, Watshara Shoombuatong

154

Publications

4.7K

Citations

H-Index

108

Concepts

All Affiliations

Mahidol University Chiang Mai University The University of Queensland Kyushu Institute of Technology University of Cambridge

About

Watshara Shoombuatong is an author at Mahidol University specializing in medicine, bioinformatics, and systems biology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	26	43	2.3K
2	Engineering	18	21	1.2K
3	Natural Sciences	16	18	788
4	Biochemistry	9	9	612
5	Public Health	3	3	78

Watshara Shoombuatong

Publications

4.1K

Citations

H-Index

Page 1

	Year	Citations
ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides Nalini Schaduangrat, Chanin Nantasenamat, Virapong Prachayasittikul, Molecules Drug TargetEngineeringAcps PossessPeptide EngineeringComputational Tool	2019	207
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation Md Mehedi Hasan, Nalini Schaduangrat, Shaherin Basith, Bioinformatics	2020	201
BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, Bioinformatics	2021	173
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, Journal of Chemical Information and Modeling ImmunologyMonosodium GlutamateBioanalysisBiostatisticsBiomarker Discovery	2020	172
Hemopred: A Web Server for Predicting the Hemolytic Activity of Peptides Thet Su Win, Aijaz Ahmad Malik, Virapong Prachayasittikul, Future Medicinal Chemistry	2017	135
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, Briefings in Bioinformatics	2021	132
Meta-iAVP: A Sequence-Based Meta-Predictor for Improving the Prediction of Antiviral Peptides Using Effective Feature Representation Nalini Schaduangrat, Chanin Nantasenamat, Virapong Prachayasittikul, International Journal of Molecular Sciences EngineeringMachine LearningImmunologyAvp PredictionFeature Selection	2019	131
iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptides Phasit Charoenkwan, Janchai Yana, Nalini Schaduangrat, Genomics BiochemistryBitter PeptidesMedicineBioanalysisPeptide Library	2020	125
UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, International Journal of Molecular Sciences EngineeringMachine LearningMachine Learning ToolFeature SelectionData Science	2021	108
iDPPIV-SCM: A Sequence-Based Predictor for Identifying and Analyzing Dipeptidyl Peptidase IV (DPP-IV) Inhibitory Peptides Using a Scoring Card Method Phasit Charoenkwan, Sakawrat Kanthawong, Chanin Nantasenamat, Journal of Proteome Research EngineeringScm MethodInhibitory PeptidesSequence-based PredictorDecision Tree	2020	99

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