Md. Mehedi Hasan

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 19

Top Topics

Fusing Multiple

Protein Interaction

Feature Representations

Subcellular Localization

Top Venues

Briefings Bioinform.

J. Comput. Aided Mol. Des.

Comput. Biol. Chem.

Publications

Sho Tsukiyama, Md. Mehedi Hasan, Hong-Wen Deng, Hiroyuki Kurata
BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches. Briefings Bioinform. 23 (2) (2022)
Md. Faruk Hosen, S. M. Hasan Mahmud, Kawsar Ahmed, Wenyu Chen, Mohammad Ali Moni, Hong-Wen Deng, Watshara Shoombuatong, Md. Mehedi Hasan
DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins. Comput. Biol. Medicine 145 (2022)
Young-Jun Jeon, Md. Mehedi Hasan, Hyun Woo Park, Ki Wook Lee, Balachandran Manavalan
TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization. Briefings Bioinform. 23 (4) (2022)
Samia Tasnim Sara, Md. Mehedi Hasan, Ahsan Ahmad, Swakkhar Shatabda
Convolutional neural networks with image representation of amino acid sequences for protein function prediction. Comput. Biol. Chem. 92 (2021)
Md. Mehedi Hasan, Shaherin Basith, Mst. Shamima Khatun, Gwang Lee, Balachandran Manavalan, Hiroyuki Kurata
Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework. Briefings Bioinform. 22 (3) (2021)
Shaherin Basith, Md. Mehedi Hasan, Gwang Lee, Leyi Wei, Balachandran Manavalan
Integrative machine learning framework for the identification of cell-specific enhancers from the human genome. Briefings Bioinform. 22 (6) (2021)
Sho Tsukiyama, Md. Mehedi Hasan, Satoshi Fujii, Hiroyuki Kurata
LSTM-PHV: prediction of human-virus protein-protein interactions by LSTM with word2vec. Briefings Bioinform. 22 (6) (2021)
Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, Md. Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides. Briefings Bioinform. 22 (6) (2021)
Phasit Charoenkwan, Chanin Nantasenamat, Md. Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong
BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides. Bioinform. 37 (17) (2021)
Md. Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, Hong-Wen Deng, Balachandran Manavalan, Hiroyuki Kurata
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning. Briefings Bioinform. 22 (6) (2021)
Md. Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, Hiroyuki Kurata
IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations. J. Comput. Aided Mol. Des. 35 (3) (2021)
Md. Mehedi Hasan, Mst. Shamima Khatun, Hiroyuki Kurata
iLBE for Computational Identification of Linear B-cell Epitopes by Integrating Sequence and Evolutionary Features. Genom. Proteom. Bioinform. 18 (5) (2020)
Md. Parvez Mosharaf, Md. Mehedi Hasan, Fee Faysal Ahmed, Mst. Shamima Khatun, Mohammad Ali Moni, Md. Nurul Haque Mollah
. Comput. Biol. Chem. 85 (2020)
Md. Mehedi Hasan, Nalini Schaduangrat, Shaherin Basith, Gwang Lee, Watshara Shoombuatong, Balachandran Manavalan
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation. Bioinform. 36 (11) (2020)
Phasit Charoenkwan, Chanin Nantasenamat, Md. Mehedi Hasan, Watshara Shoombuatong
Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation. J. Comput. Aided Mol. Des. 34 (10) (2020)
Mst. Shamima Khatun, Md. Mehedi Hasan, Watshara Shoombuatong, Hiroyuki Kurata
ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations. J. Comput. Aided Mol. Des. 34 (12) (2020)
Phasit Charoenkwan, Janchai Yana, Chanin Nantasenamat, Md. Mehedi Hasan, Watshara Shoombuatong
iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides. J. Chem. Inf. Model. 60 (12) (2020)
Mst. Shamima Khatun, Md. Mehedi Hasan, Md. Nurul Haque Mollah, Hiroyuki Kurata
SIPMA: A Systematic Identification of Protein-Protein Interactions in Zea mays Using Autocorrelation Features in a Machine-Learning Framework. BIBE (2018)
Md. Mehedi Hasan, Hiroyuki Kurata
iLMS, Computational Identification of Lysine-Malonylation Sites by Combining Multiple Sequence Features. BIBE (2018)