Nalini Schaduangrat
Bangkok, Thailand
Last Updated: 09/26/2026
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Found 65 publications
MIF-MAPMS: Enhancing identification of myelin autoantigenic peptides in multiple sclerosis through multimodal information fusion.
Journal: Protein science : a publication of the Protein Society
Published: March 30, 2026
NToxSEM: Enhancing prediction of neurotoxic peptides and neurotoxins using a stacked ensemble-based multimodal framework.
Journal: Protein science : a publication of the Protein Society
Published: March 05, 2026
Explainable AI-driven prediction of influenza neuraminidase inhibitors using a stacked ensemble-learning framework.
Journal: Computers in biology and medicine
Published: September 03, 2025
DeepHDAC3i: Leveraging an Interpretable Deep Learning-Based Framework for the Accelerated Discovery of HDAC3 Inhibitors.
Journal: IEEE transactions on computational biology and bioinformatics
Published: August 29, 2025
iMRSA-Fuse: A Fast and Accurate Computational Approach for Predicting Anti-MRSA Peptides by Fusing Multi-View Information.
Journal: IEEE transactions on computational biology and bioinformatics
Published: August 14, 2025
Accurate identification of broadly neutralizing antibodies against dengue virus based on deep stacking strategy with multi-perspective features.
Journal: Scientific reports
Published: May 10, 2025
Advancing the accuracy of clathrin protein prediction through multi-source protein language models.
Journal: Scientific reports
Published: February 18, 2025
BLSAM-TIP: Improved and robust identification of tyrosinase inhibitory peptides by integrating bidirectional LSTM with self-attention mechanism.
Journal: PloS one
Published: January 15, 2025
M3S-GRPred: a novel ensemble learning approach for the interpretable prediction of glucocorticoid receptor antagonists using a multi-step stacking strategy.
Journal: BMC bioinformatics
Published: January 10, 2025
BGATT-GR: accurate identification of glucocorticoid receptor antagonists based on data augmentation combined with BiGRU-attention.
Journal: Scientific reports
Published: January 10, 2025
A comprehensive review and evaluation of machine learning-based approaches for identifying tumor T cell antigens.
Journal: Computational biology and chemistry
Published: October 24, 2024
Last Updated: 09/26/2026