Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine … MM Hasan, S Basith, MS Khatun, G Lee, B Manavalan, H Kurata Briefings in Bioinformatics 22 (3), bbaa202, 2021 | 110 | 2021 |
PreAIP: computational prediction of anti-inflammatory peptides by integrating multiple complementary features MS Khatun, MM Hasan, H Kurata Frontiers in genetics 10, 129, 2019 | 103 | 2019 |
i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genome MM Hasan, B Manavalan, MS Khatun, H Kurata International journal of biological macromolecules 157, 752-758, 2020 | 82 | 2020 |
i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation MM Hasan, B Manavalan, W Shoombuatong, MS Khatun, H Kurata Plant molecular biology 103, 225-234, 2020 | 73 | 2020 |
i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemes MM Hasan, B Manavalan, W Shoombuatong, MS Khatun, H Kurata Computational and structural biotechnology journal 18, 906-912, 2020 | 63 | 2020 |
A systematic identification of species-specific protein succinylation sites using joint element features information MM Hasan, MS Khatun, MNH Mollah, C Yong, D Guo International journal of nanomedicine, 6303-6315, 2017 | 57 | 2017 |
Prediction of S-nitrosylation sites by integrating support vector machines and random forest MM Hasan, B Manavalan, MS Khatun, H Kurata Molecular omics 15 (6), 451-458, 2019 | 53 | 2019 |
Large-scale assessment of bioinformatics tools for lysine succinylation sites MM Hasan, MS Khatun, H Kurata Cells 8 (2), 95, 2019 | 41 | 2019 |
NTyroSite: Computational identification of protein nitrotyrosine sites using sequence evolutionary features MM Hasan, MS Khatun, MNH Mollah, C Yong, G Dianjing Molecules 23 (7), 1667, 2018 | 40 | 2018 |
Efficient computational model for identification of antitubercular peptides by integrating amino acid patterns and properties S Khatun, M Hasan, H Kurata FEBS letters 593 (21), 3029-3039, 2019 | 38 | 2019 |
Computational identification of microbial phosphorylation sites by the enhanced characteristics of sequence information MM Hasan, MM Rashid, MS Khatun, H Kurata Scientific reports 9 (1), 8258, 2019 | 37 | 2019 |
iLBE for computational identification of linear B-cell epitopes by integrating sequence and evolutionary features MM Hasan, MS Khatun, H Kurata Genomics, Proteomics and Bioinformatics 18 (5), 593-600, 2020 | 35 | 2020 |
ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations MS Khatun, MM Hasan, W Shoombuatong, H Kurata Journal of Computer-Aided Molecular Design 34, 1229-1236, 2020 | 34 | 2020 |
Evolution of sequence-based bioinformatics tools for protein-protein interaction prediction M Khatun, W Shoombuatong, MM Hasan, H Kurata Current Genomics 21 (6), 454-463, 2020 | 29 | 2020 |
Computational prediction of protein ubiquitination sites mapping on Arabidopsis thaliana MP Mosharaf, MM Hassan, FF Ahmed, MS Khatun, MA Moni, MNH Mollah Computational biology and chemistry 85, 107238, 2020 | 27 | 2020 |
A comprehensive review of in silico analysis for protein S-sulfenylation sites MM Hasan, MS Khatun, H Kurata Protein and peptide letters 25 (9), 815-821, 2018 | 23 | 2018 |
Prediction of protein post-translational modification sites: an overview MM Hasan, MS Khatun Annals of Proteomics and Bioinformatics 2 (1), 049-057, 2018 | 23 | 2018 |
Recent development of bioinformatics tools for microRNA target prediction MS Khatun, MA Alam, W Shoombuatong, MNH Mollah, H Kurata, ... Current medicinal chemistry 29 (5), 865-880, 2022 | 15 | 2022 |
Recent progress and challenges for protein pupylation sites prediction MM Hasan, MS Khatun EC Proteomics and Bioinformatics 2 (1), 36-45, 2017 | 14 | 2017 |
Computational modeling of lysine post-translational modification: An overview MM Hasan, MS Khatun, H Kurata Current Synthetic and Systems Biology, 2018 | 11 | 2018 |