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» Authors » Sho Tsukiyama

Sho Tsukiyama

Explore the profile of Sho Tsukiyama including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 9
Citations 97
Followers 0
Related Specialties
Biology
General Medicine
Science
Top 10 Co-Authors
Hiroyuki Kurata
Md Mehedi Hasan
Balachandran Manavalan
Md Harun-Or-Roshid
Kazuhiro Maeda
Hong-Wen Deng
Satoshi Fujii
Md Ashad Alam
Xiaowen Liu
Jae Youl Cho
Published In
Brief Bioinform
PLoS One
Comput Struct Biotechnol J
Mol Ther
Methods
Affiliations
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Recent Articles
1.
PredIL13: Stacking a variety of machine and deep learning methods with ESM-2 language model for identifying IL13-inducing peptides
Kurata H, Harun-Or-Roshid M, Tsukiyama S, Maeda K
PLoS One . 2024 Aug; 19(8):e0309078. PMID: 39172871
Interleukin (IL)-13 has emerged as one of the recently identified cytokine. Since IL-13 causes the severity of COVID-19 and alters crucial biological processes, it is urgent to explore novel molecules...
2.
MLm5C: A high-precision human RNA 5-methylcytosine sites predictor based on a combination of hybrid machine learning models
Kurata H, Harun-Or-Roshid M, Hasan M, Tsukiyama S, Maeda K, Manavalan B
Methods . 2024 May; 227:37-47. PMID: 38729455
RNA modification serves as a pivotal component in numerous biological processes. Among the prevalent modifications, 5-methylcytosine (m5C) significantly influences mRNA export, translation efficiency and cell differentiation and are also associated...
3.
CNN6mA: Interpretable neural network model based on position-specific CNN and cross-interactive network for 6mA site prediction
Tsukiyama S, Hasan M, Kurata H
Comput Struct Biotechnol J . 2023 Jan; 21:644-654. PMID: 36659917
N6-methyladenine (6mA) plays a critical role in various epigenetic processing including DNA replication, DNA repair, silencing, transcription, and diseases such as cancer. To understand such epigenetic mechanisms, 6 mA has...
4.
ICAN: Interpretable cross-attention network for identifying drug and target protein interactions
Kurata H, Tsukiyama S
PLoS One . 2022 Oct; 17(10):e0276609. PMID: 36279284
Drug-target protein interaction (DTI) identification is fundamental for drug discovery and drug repositioning, because therapeutic drugs act on disease-causing proteins. However, the DTI identification process often requires expensive and time-consuming...
5.
Cross-attention PHV: Prediction of human and virus protein-protein interactions using cross-attention-based neural networks
Tsukiyama S, Kurata H
Comput Struct Biotechnol J . 2022 Oct; 20:5564-5573. PMID: 36249566
Viral infections represent a major health concern worldwide. The alarming rate at which SARS-CoV-2 spreads, for example, led to a worldwide pandemic. Viruses incorporate genetic material into the host genome...
6.
iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model
Kurata H, Tsukiyama S, Manavalan B
Brief Bioinform . 2022 Jun; 23(4). PMID: 35772910
The COVID-19 pandemic caused several million deaths worldwide. Development of anti-coronavirus drugs is thus urgent. Unlike conventional non-peptide drugs, antiviral peptide drugs are highly specific, easy to synthesize and modify,...
7.
Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy
Hasan M, Tsukiyama S, Cho J, Kurata H, Alam M, Liu X, et al.
Mol Ther . 2022 May; 30(8):2856-2867. PMID: 35526094
As one of the most prevalent post-transcriptional epigenetic modifications, N5-methylcytosine (m5C) plays an essential role in various cellular processes and disease pathogenesis. Therefore, it is important accurately identify m5C modifications...
8.
BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches
Tsukiyama S, Hasan M, Deng H, Kurata H
Brief Bioinform . 2022 Feb; 23(2). PMID: 35225328
N6-methyladenine (6mA) is associated with important roles in DNA replication, DNA repair, transcription, regulation of gene expression. Several experimental methods were used to identify DNA modifications. However, these experimental methods...
9.
LSTM-PHV: prediction of human-virus protein-protein interactions by LSTM with word2vec
Tsukiyama S, Hasan M, Fujii S, Kurata H
Brief Bioinform . 2021 Jun; 22(6). PMID: 34160596
Viral infection involves a large number of protein-protein interactions (PPIs) between human and virus. The PPIs range from the initial binding of viral coat proteins to host membrane receptors to...