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Chanin Nantasenamat
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2020 – today
- 2023
- [j16]Phasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, Md. Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Watshara Shoombuatong:
PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning. Comput. Biol. Medicine 152: 106368 (2023) - 2021
- [j15]Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, Md. Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong:
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides. Briefings Bioinform. 22(6) (2021) - [j14]Phasit Charoenkwan, Chanin Nantasenamat, Md. Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong:
BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides. Bioinform. 37(17): 2556-2562 (2021) - [j13]Aijaz Ahmad Malik, Warot Chotpatiwetchkul, Chuleeporn Phanus-umporn, Chanin Nantasenamat, Phasit Charoenkwan, Watshara Shoombuatong:
StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors. J. Comput. Aided Mol. Des. 35(10): 1037-1053 (2021) - 2020
- [j12]Phasit Charoenkwan, Chanin Nantasenamat, Md. Mehedi Hasan, Watshara Shoombuatong:
Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation. J. Comput. Aided Mol. Des. 34(10): 1105-1116 (2020) - [j11]Aijaz Ahmad Malik, Chuleeporn Phanus-umporn, Nalini Schaduangrat, Watshara Shoombuatong, Chartchalerm Isarankura-Na-Ayudhya, Chanin Nantasenamat:
HCVpred : A web server for predicting the bioactivity of hepatitis C virus NS5B inhibitors. J. Comput. Chem. 41(20): 1820-1834 (2020) - [j10]Nalini Schaduangrat, Samuel Lampa, Saw Simeon, Matthew Paul Gleeson, Ola Spjuth, Chanin Nantasenamat:
Towards reproducible computational drug discovery. J. Cheminformatics 12(1): 9 (2020) - [j9]Phasit Charoenkwan, Janchai Yana, Chanin Nantasenamat, Md. Mehedi Hasan, Watshara Shoombuatong:
iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides. J. Chem. Inf. Model. 60(12): 6666-6678 (2020)
2010 – 2019
- 2019
- [j8]Sayamon Hongjaisee, Chanin Nantasenamat, Tanawan Samleerat Carraway, Watshara Shoombuatong:
HIVCoR: A sequence-based tool for predicting HIV-1 CRF01_AE coreceptor usage. Comput. Biol. Chem. 80: 419-432 (2019) - [j7]Watshara Shoombuatong, Nalini Schaduangrat, Reny Pratiwi, Chanin Nantasenamat:
THPep: A machine learning-based approach for predicting tumor homing peptides. Comput. Biol. Chem. 80: 441-451 (2019) - [j6]Vishuda Laengsri, Watshara Shoombuatong, W. Adirojananon, Chanin Nantasenamat, Virapong Prachayasittikul, Pornlada Nuchnoi:
Correction to: ThalPred: a web-based prediction tool for discriminating thalassemia trait and ron deficiency anemia. BMC Medical Informatics Decis. Mak. 19(1): 228:1 (2019) - 2016
- [j5]Saw Simeon, Watshara Shoombuatong, Nuttapat Anuwongcharoen, Likit Preeyanon, Virapong Prachayasittikul, Jarl E. S. Wikberg, Chanin Nantasenamat:
osFP: a web server for predicting the oligomeric states of fluorescent proteins. J. Cheminformatics 8(1): 72:1-72:15 (2016) - 2015
- [j4]Sunanta Nabu, Chanin Nantasenamat, Wiwat Owasirikul, Ratana Lawung, Chartchalerm Isarankura-Na-Ayudhya, Maris Lapins, Jarl E. S. Wikberg, Virapong Prachayasittikul:
Proteochemometric model for predicting the inhibition of penicillin-binding proteins. J. Comput. Aided Mol. Des. 29(2): 127-141 (2015) - 2014
- [j3]Chanin Nantasenamat, Saw Simeon, Wiwat Owasirikul, Napat Songtawee, Maris Lapins, Virapong Prachayasittikul, Jarl E. S. Wikberg:
Illuminating the origins of spectral properties of green fluorescent proteins via proteochemometric and molecular modeling. J. Comput. Chem. 35(27): 1951-1966 (2014)
2000 – 2009
- 2007
- [j2]Chanin Nantasenamat, Chartchalerm Isarankura-Na-Ayudhya, Natta Tansila, Thanakorn Naenna, Virapong Prachayasittikul:
Prediction of GFP spectral properties using artificial neural network. J. Comput. Chem. 28(7): 1275-1289 (2007) - 2005
- [j1]Chanin Nantasenamat, Thanakorn Naenna, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul:
Quantitative prediction of imprinting factor of molecularly imprinted polymers by artificial neural network. J. Comput. Aided Mol. Des. 19(7): 509-524 (2005)
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