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International Journal of Molecular Sciences|December 10, 2021
UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation LearningPhasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.Briefings in Bioinformatics|June 26, 2022
TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localizationYoung-Jun Jeon, Md Mehedi Hasan, Hyun Woo Park, et al.Pharmaceutics|January 21, 2022
SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino AcidsPhasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, et al.Briefings in Bioinformatics|May 11, 2021
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learningMd Mehedi Hasan, Md Ashad Alam, Watshara Shoombuatong, et al.Computational and Structural Biotechnology Journal|September 2, 2022
MLACP 2.0: An updated machine learning tool for anticancer peptide predictionLe Thi Phan, Hyun Woo Park, Thejkiran Pitti, et al.Computers in Biology and Medicine|May 27, 2023
DrugormerDTI: Drug Graphormer for drug-target interaction predictionJiayue Hu, Wang Yu, Chao Pang, et al.Methods (San Diego, Calif.)|May 10, 2024
MLm5C: A high-precision human RNA 5-methylcytosine sites predictor based on a combination of hybrid machine learning modelsHiroyuki Kurata, Md Harun-Or-Roshid, Md Mehedi Hasan, et al.Journal of Cheminformatics|August 20, 2025
xBitterT5: an explainable transformer-based framework with multimodal inputs for identifying bitter-taste peptidesNguyen Doan Hieu Nguyen, Nhat Truong Pham, Duong Thanh Tran, et al.Methods (San Diego, Calif.)|December 9, 2021
StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptidesPhasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.IEEE Journal of Biomedical and Health Informatics|May 23, 2025
XMolCap: Advancing Molecular Captioning Through Multimodal Fusion and Explainable Graph Neural NetworksDuong Thanh Tran, Nguyen Doan Hieu Nguyen, Nhat Truong Pham, et al.Pageof 26