Sho Tsukiyama

LSTM-PHV: prediction of human-virus protein–protein interactions by LSTM with word2vec

Sho Tsukiyama, Md Mehedi Hasan, Satoshi Fujii et al. · Briefings in Bioinformatics · 2021 · 121 citations · Full text

Structured Prediction, Engineering, Machine Learning +20

Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy

Md Mehedi Hasan, Sho Tsukiyama, Jae Youl Cho et al. · Molecular Therapy · 2022 · 76 citations · Full text

BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches

Sho Tsukiyama, Md Mehedi Hasan, Hong‐Wen Deng et al. · Briefings in Bioinformatics · 2022 · 55 citations · Full text

iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model

Hiroyuki Kurata, Sho Tsukiyama, Balachandran Manavalan · Briefings in Bioinformatics · 2022 · 51 citations

ICAN: Interpretable cross-attention network for identifying drug and target protein interactions

Hiroyuki Kurata, Sho Tsukiyama · PLoS ONE · 2022 · 15 citations · Full text