SIPMA: A Systematic Identification of Protein-Protein Interactions in Zea mays Using Autocorrelation Features in a Machine-Learning Framework. - Mst. Shamima Khatun; Md. Mehedi Hasan 002; Md. Nurul Haque Mollah; Hiroyuki Kurata (BIBE, 2018)

Computational prediction of protein ubiquitination sites mapping on Arabidopsis thaliana. - Md. Parvez Mosharaf; Md. Mehedi Hasan 002; Fee Faysal Ahmed; Mst. Shamima Khatun; Mohammad Ali Moni; Md. Nurul Haque Mollah (Comput. Biol. Chem., 2020)

iLBE for Computational Identification of Linear B-cell Epitopes by Integrating Sequence and Evolutionary Features. - Md. Mehedi Hasan 002; Mst. Shamima Khatun; Hiroyuki Kurata (Genom. Proteom. Bioinform., 2020)

ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations. - Mst. Shamima Khatun; Md. Mehedi Hasan 002; Watshara Shoombuatong; Hiroyuki Kurata (J. Comput. Aided Mol. Des., 2020)

Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework. - Md. Mehedi Hasan 002; Shaherin Basith; Mst. Shamima Khatun; Gwang Lee; Balachandran Manavalan; Hiroyuki Kurata (Briefings Bioinform., 2021)