Hiroyuki Kurata

Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Top Venues

International journal of molecular sciences

Environmental science & technology

Briefings in bioinformatics

This page only lists publications with an associated author ORCID identifier.

Publications

Md Harun-Or-Roshid, Nhat Truong Pham, Balachandran Manavalan, Hiroyuki Kurata
Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2'-O-methylation sites in human RNA. PloS one 19 (6) (2024)
Md Harun-Or-Roshid, Nhat Truong Pham, Balachandran Manavalan, Hiroyuki Kurata
Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2'-O-methylation sites in human RNA. PloS one 19 (6) (2024)
Hiroyuki Kurata, Md Harun-Or-Roshid, Sho Tsukiyama, Kazuhiro Maeda
PredIL13: Stacking a variety of machine and deep learning methods with ESM-2 language model for identifying IL13-inducing peptides. PloS one 19 (8) (2024)
Hiroyuki Kurata, Md Harun-Or-Roshid, Sho Tsukiyama, Kazuhiro Maeda
PredIL13: Stacking a variety of machine and deep learning methods with ESM-2 language model for identifying IL13-inducing peptides. PloS one 19 (8) (2024)
Hiroyuki Kurata, Md Harun-Or-Roshid, Sho Tsukiyama, Kazuhiro Maeda
PredIL13: Stacking a variety of machine and deep learning methods with ESM-2 language model for identifying IL13-inducing peptides. PloS one 19 (8) (2024)
Kazuhiro Maeda, Hiroyuki Kurata
Automatic Generation of SBML Kinetic Models from Natural Language Texts Using GPT. International journal of molecular sciences 24 (8) (2023)
Kazuhiro Maeda, Masashi Hirano, Taka Hayashi, Midori Iida, Hiroyuki Kurata, Hiroshi Ishibashi
Elucidating Key Characteristics of PFAS Binding to Human Peroxisome Proliferator-Activated Receptor Alpha: An Explainable Machine Learning Approach. Environmental science & technology 58 (1) (2023)
Kazuhiro Maeda, Masashi Hirano, Taka Hayashi, Midori Iida, Hiroyuki Kurata, Hiroshi Ishibashi
Elucidating Key Characteristics of PFAS Binding to Human Peroxisome Proliferator-Activated Receptor Alpha: An Explainable Machine Learning Approach. Environmental science & technology (2023)
Kazuhiro Maeda, Hiroyuki Kurata
Automatic Generation of SBML Kinetic Models from Natural Language Texts Using GPT. International journal of molecular sciences 24 (8) (2023)
Kazuhiro Maeda, Masashi Hirano, Taka Hayashi, Midori Iida, Hiroyuki Kurata, Hiroshi Ishibashi
Elucidating Key Characteristics of PFAS Binding to Human Peroxisome Proliferator-Activated Receptor Alpha: An Explainable Machine Learning Approach. Environmental science & technology 58 (1) (2023)
Kazuhiro Maeda, Hiroyuki Kurata
Automatic Generation of SBML Kinetic Models from Natural Language Texts Using GPT. International journal of molecular sciences 24 (8) (2023)
Hiroyuki Kurata, Sho Tsukiyama, Balachandran Manavalan
iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model. Briefings in bioinformatics 23 (4) (2022)
Sho Tsukiyama, Md Mehedi Hasan, Hong-Wen Deng, Hiroyuki Kurata
BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches. Briefings in bioinformatics 23 (2) (2022)
Hiroyuki Kurata, Sho Tsukiyama
ICAN: Interpretable cross-attention network for identifying drug and target protein interactions. PloS one 17 (10) (2022)
Yuto Ariji, Tetsuo Hayashi, Ryosuke Ideta, Ryuichiro Koga, Satoshi Murai, Tomoki Naka, Ryusei Ifuku, Fumihiro Towatari, Hiroaki Sakai, Hiroyuki Kurata, Takeshi Maeda
Identification of a reliable sacral-sparing examination to assess the ASIA impairment scale in patients with traumatic spinal cord injury. The journal of spinal cord medicine (2022)
Andi Nur Nilamyani, Firda Nurul Auliah, Mohammad Ali Moni, Watshara Shoombuatong, Md Mehedi Hasan, Hiroyuki Kurata
PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features. International journal of molecular sciences 22 (5) (2021)
Firda Nurul Auliah, Andi Nur Nilamyani, Watshara Shoombuatong, Md Ashad Alam, Md Mehedi Hasan, Hiroyuki Kurata
PUP-Fuse: Prediction of Protein Pupylation Sites by Integrating Multiple Sequence Representations. International journal of molecular sciences 22 (4) (2021)
Md Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong, Mst Shamima Khatun, Hiroyuki Kurata
i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation. Plant molecular biology 103 (1-2) (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. Journal of computer-aided molecular design 34 (12) (2020)
Yuto Ariji, Tetsuo Hayashi, Ryosuke Ideta, Ryuichiro Koga, Satoshi Murai, Fumihiro Towatari, Yoshiteru Terashi, Hiroaki Sakai, Hiroyuki Kurata, Takeshi Maeda
A prediction model of functional outcome at 6 months using clinical findings of a person with traumatic spinal cord injury at 1 month after injury. Spinal cord 58 (11) (2020)
Kazuhiro Maeda, Hans Victor Westerhoff, Hiroyuki Kurata, Fred C Boogerd
Ranking network mechanisms by how they fit diverse experiments and deciding on E. coli's ammonium transport and assimilation network. NPJ systems biology and applications 5 (2019)
Md Mehedi Hasan, Md Mamunur Rashid, Mst Shamima Khatun, Hiroyuki Kurata
Computational identification of microbial phosphorylation sites by the enhanced characteristics of sequence information. Scientific reports 9 (1) (2019)
Md Mehedi Hasan, Hiroyuki Kurata
GPSuc: Global Prediction of Generic and Species-specific Succinylation Sites by aggregating multiple sequence features. PloS one 13 (10) (2018)