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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.Computers in Biology and Medicine|July 4, 2025
EnsemPred-ACP: Combining machine and deep learning to improve anticancer peptide predictionMinjun Kwon, Yong Eun Jang, Ji Su Hwang, et al.Computers in Biology and Medicine|June 21, 2025
CPPpred-En: Ensemble framework integrating a protein language model and conventional features for highly accurate cell-penetrating peptide predictionYong Eun Jang, Minjun Kwon, Seok Gi Kim, 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.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.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.Journal of Proteome Research|June 13, 2018
Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved AccuracyBalachandran Manavalan, Sathiyamoorthy Subramaniyam, Tae Hwan Shin, 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.Pageof 15