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ORCIDMd. Mehedi Hasan 0002
Person information
- affiliation: Kyushu Institute of Technology, Department of Bioscience and Bioinformatics, Fukuoka, Japan
Other persons with the same name
- Md. Mehedi Hasan — disambiguation page
- Md. Mehedi Hasan 0001
![[0000-0003-4326-4332]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4326-4332")
— University of Dhaka, Bangladesh (and 1 more) - Md. Mehedi Hasan 0003 — American International University-Bangladesh (AIUB), Department of Computer Science, Dhaka, Bangladesh (and 1 more)
- Md. Mehedi Hasan 0004 — Universiti Kebangsaan Malaysia, Space Science Centre (ANGKASA), Bangi, Malaysia
- Md. Mehedi Hasan 0005 — Rajshahi University of Engineering and Technology, Department of Electrical and Electronic Engineering, Bangladesh
- Md. Mehedi Hasan 0006 — Daffodil International University, Department of Computer Science and Engineering, Dhaka, Bangladesh
- Md. Mehedi Hasan 0007 — Stony Brook University, NY, USA
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2020 – today
- 2023
[j18]Phasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, Md. Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Watshara Shoombuatong:
PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning. Comput. Biol. Medicine 152: 106368 (2023)- 2022
- [j17]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) - [j16]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) - [j15]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: 105433 (2022) - 2021
- [j14]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) - [j13]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) - [j12]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) - [j11]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) - [j10]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) - [j9]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): 2556-2562 (2021) - [j8]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: 107494 (2021) - [j7]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): 315-323 (2021) - 2020
- [j6]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): 3350-3356 (2020) - [j5]Md. Parvez Mosharaf, Md. Mehedi Hasan, Fee Faysal Ahmed, Mst. Shamima Khatun, Mohammad Ali Moni, Md. Nurul Haque Mollah:
Computational prediction of protein ubiquitination sites mapping on Arabidopsis thaliana. Comput. Biol. Chem. 85: 107238 (2020) - [j4]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): 593-600 (2020) - [j3]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): 1105-1116 (2020) - [j2]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): 1229-1236 (2020) - [j1]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): 6666-6678 (2020)
2010 – 2019
- 2018
- [c2]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: 122-125 - [c1]Md. Mehedi Hasan, Hiroyuki Kurata:
iLMS, Computational Identification of Lysine-Malonylation Sites by Combining Multiple Sequence Features. BIBE 2018: 356-359
Coauthor Index
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