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Nalini Schaduangrat
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2020 – today
- 2025
- [j12]Phasit Charoenkwan, Nalini Schaduangrat, Le Thi Phan, Balachandran Manavalan, Watshara Shoombuatong:
M3S-ALG: Improved and robust prediction of allergenicity of chemical compounds by using a novel multi-step stacking strategy. Future Gener. Comput. Syst. 162: 107455 (2025) - 2023
- [j11]Phasit Charoenkwan, Nalini Schaduangrat, Watshara Shoombuatong:
StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens. BMC Bioinform. 24(1): 301 (2023) - [j10]Phasit Charoenkwan, Sasikarn Kongsompong, Nalini Schaduangrat, Pramote Chumnanpuen, Watshara Shoombuatong:
TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides. BMC Bioinform. 24(1): 356 (2023) - [j9]Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Changmin Oh, Balachandran Manavalan, Watshara Shoombuatong:
PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning. Comput. Biol. Medicine 158: 106784 (2023) - [j8]Nalini Schaduangrat, Nuttapat Anuwongcharoen, Phasit Charoenkwan, Watshara Shoombuatong:
DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists. J. Cheminformatics 15(1): 50 (2023) - 2022
- [j7]Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong:
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins. Comput. Biol. Medicine 146: 105704 (2022) - [j6]Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Balachandran Manavalan, Watshara Shoombuatong:
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides. Comput. Biol. Medicine 148: 105700 (2022) - [j5]Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Watshara Shoombuatong:
Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides. J. Comput. Aided Mol. Des. 36(11): 781-796 (2022) - 2020
- [j4]Md. Mehedi Hasan, Nalini Schaduangrat, Shaherin Basith, Gwang Lee, Watshara Shoombuatong, Balachandran Manavalan:
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation. Bioinform. 36(11): 3350-3356 (2020) - [j3]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) - [j2]Nalini Schaduangrat, Samuel Lampa, Saw Simeon, Matthew Paul Gleeson, Ola Spjuth, Chanin Nantasenamat:
Towards reproducible computational drug discovery. J. Cheminformatics 12(1): 9 (2020)
2010 – 2019
- 2019
- [j1]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)
Coauthor Index
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