Nalini Schaduangrat
Orcid: 0000-0002-0842-8277
According to our database1,
Nalini Schaduangrat
authored at least 11 papers
between 2019 and 2023.
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Bibliography
2023
DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists.
J. Cheminformatics, December, 2023
StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens.
BMC Bioinform., December, 2023
TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides.
BMC Bioinform., December, 2023
PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning.
Comput. Biol. Medicine, May, 2023
2022
Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides.
J. Comput. Aided Mol. Des., 2022
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins.
Comput. Biol. Medicine, 2022
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides.
Comput. Biol. Medicine, 2022
2020
HCVpred : A web server for predicting the bioactivity of hepatitis C virus NS5B inhibitors.
J. Comput. Chem., 2020
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation.
Bioinform., 2020
2019
Comput. Biol. Chem., 2019