ติดตาม
Watshara Shoombuatong
Watshara Shoombuatong
Associate Professor of Bioinformatics, Mahidol University
ยืนยันอีเมลแล้วที่ mahidol.ac.th
ชื่อ
อ้างโดย
อ้างโดย
ปี
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
MM Hasan, N Schaduangrat, S Basith, G Lee, W Shoombuatong, ...
Bioinformatics 36 (11), 3350-3356, 2020
1012020
ACPred: a computational tool for the prediction and analysis of anticancer peptides
N Schaduangrat, C Nantasenamat, V Prachayasittikul, W Shoombuatong
Molecules 24 (10), 1973, 2019
772019
SCMCRYS: predicting protein crystallization using an ensemble scoring card method with estimating propensity scores of P-collocated amino acid pairs
P Charoenkwan, W Shoombuatong, HC Lee, J Chaijaruwanich, ...
PloS one 8 (9), e72368, 2013
732013
Unraveling the bioactivity of anticancer peptides as deduced from machine learning
W Shoombuatong, N Schaduangrat, C Nantasenamat
EXCLI journal 17, 734, 2018
702018
HemoPred: a web server for predicting the hemolytic activity of peptides
TS Win, AA Malik, V Prachayasittikul, JE S Wikberg, C Nantasenamat, ...
Future medicinal chemistry 9 (3), 275-291, 2017
552017
Meta-iAVP: a sequence-based meta-predictor for improving the prediction of antiviral peptides using effective feature representation
N Schaduangrat, C Nantasenamat, V Prachayasittikul, W Shoombuatong
International journal of molecular sciences 20 (22), 5743, 2019
522019
i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation
M Hasan, B Manavalan, W Shoombuatong, M Khatun, H Kurata
Plant molecular biology 103 (1), 225-234, 2020
492020
Computer-aided drug design of bioactive natural products
V Prachayasittikul, A Worachartcheewan, W Shoombuatong, ...
Current Topics in Medicinal Chemistry 15 (18), 1780-1800, 2015
492015
iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides Using Informative Physicochemical Properties
P Charoenkwan, N Schaduangrat, C Nantasenamat, T Piacham, ...
International Journal of Molecular Sciences 21 (1), 75, 2019
462019
PAAP: A web server for predicting antihypertensive activity of peptides
TS Win, N Schaduangrat, V Prachayasittikul, C Nantasenamat, ...
Future medicinal chemistry 10 (15), 1749-1767, 2018
452018
THPep: a machine learning-based approach for predicting tumor homing peptides
W Shoombuatong, N Schaduangrat, R Pratiwi, C Nantasenamat
Computational Biology and Chemistry 80, 441-451, 2019
442019
iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptides
P Charoenkwan, J Yana, N Schaduangrat, C Nantasenamat, MM Hasan, ...
Genomics 112 (4), 2813-2822, 2020
432020
Predicting metabolic syndrome using the random forest method
A Worachartcheewan, W Shoombuatong, P Pidetcha, W Nopnithipat, ...
The Scientific World Journal 2015, 2015
432015
i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemes
MM Hasan, B Manavalan, W Shoombuatong, MS Khatun, H Kurata
Computational and structural biotechnology journal 18, 906-912, 2020
402020
Probing the origins of human acetylcholinesterase inhibition via QSAR modeling and molecular docking
S Simeon, N Anuwongcharoen, W Shoombuatong, AA Malik, ...
PeerJ 4, e2322, 2016
402016
Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation
P Charoenkwan, C Nantasenamat, M Hasan, W Shoombuatong
Journal of Computer-Aided Molecular Design 34 (10), 1105-1116, 2020
382020
CryoProtect: a web server for classifying antifreeze proteins from nonantifreeze proteins
R Pratiwi, AA Malik, N Schaduangrat, V Prachayasittikul, JES Wikberg, ...
Journal of Chemistry 2017, 2017
372017
HIV-1 CRF01_AE coreceptor usage prediction using kernel methods based logistic model trees
W Shoombuatong, S Hongjaisee, F Barin, J Chaijaruwanich, T Samleerat
Computers in Biology and Medicine 42 (9), 885-889, 2012
372012
TargetAntiAngio: a sequence-based tool for the prediction and analysis of anti-angiogenic peptides
V Laengsri, C Nantasenamat, N Schaduangrat, P Nuchnoi, ...
International Journal of Molecular Sciences 20 (12), 2950, 2019
362019
iUmami-SCM: a novel sequence-based predictor for prediction and analysis of umami peptides using a scoring card method with propensity scores of dipeptides
P Charoenkwan, J Yana, C Nantasenamat, MM Hasan, W Shoombuatong
Journal of Chemical Information and Modeling 60 (12), 6666-6678, 2020
342020
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บทความ 1–20