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Frontiers in Pharmacology|March 30, 2018
Exploring G Protein-Coupled Receptors (GPCRs) Ligand Space via Cheminformatics Approaches: Impact on Rational Drug DesignShaherin Basith, Minghua Cui, Stephani J Y Macalino, et al.Briefings in Bioinformatics|November 5, 2020
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking frameworkLeyi Wei, Wenjia He, Adeel Malik, et al.Plant Molecular Biology|March 7, 2020
i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representationMd Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong, et al.Computational and Structural Biotechnology Journal|April 24, 2020
i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemesMd Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong, et al.Computers in Biology and Medicine|March 29, 2023
PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learningPhasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.Journal of Molecular Biology|November 7, 2024
MST-m6A: A Novel Multi-Scale Transformer-based Framework for Accurate Prediction of m6A Modification Sites Across Diverse Cellular ContextsQiaosen Su, Le Thi Phan, Nhat Truong Pham, et al.Journal of Molecular Biology|September 5, 2024
mACPpred 2.0: Stacked Deep Learning for Anticancer Peptide Prediction with Integrated Spatial and Probabilistic Feature RepresentationsVinoth Kumar Sangaraju, Nhat Truong Pham, Leyi Wei, et al.Journal of Hazardous Materials|November 26, 2025
Mulaqua: An interpretable multimodal deep learning framework for identifying PMT/vPvM substances in drinking waterNguyen Doan Hieu Nguyen, Nhat Truong Pham, Hojin Seo, et al.Computers in Biology and Medicine|December 25, 2023
Stack-DHUpred: Advancing the accuracy of dihydrouridine modification sites detection via stacking approachMd Harun-Or-Roshid, Kazuhiro Maeda, Le Thi Phan, et al.Computers in Biology and Medicine|June 11, 2022
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteinsPhasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, et al.Pageof 26