Search Results - "KURATA HIROYUKI" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Virtual metabolic human dynamic model for pathological analysis and therapy design for diabetes

Virtual metabolic human dynamic model for pathological analysis and therapy design for diabetes

by Kurata, Hiroyuki
Published in iScience (19.02.2021)

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Journal Article

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

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

by Kurata, Hiroyuki, Tsukiyama, Sho
Published in PloS one (24.10.2022)

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Journal Article

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

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

by Kurata, Hiroyuki, Tsukiyama, Sho, Manavalan, Balachandran
Published in Briefings in bioinformatics (18.07.2022)

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Efficient computational model for identification of antitubercular peptides by integrating amino acid patterns and properties

Efficient computational model for identification of antitubercular peptides by integrating amino acid patterns and properties

by Khatun, Shamima, Hasan, Mehedi, Kurata, Hiroyuki
Published in FEBS letters (01.11.2019)

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Journal Article

Automatic Generation of SBML Kinetic Models from Natural Language Texts Using GPT

Automatic Generation of SBML Kinetic Models from Natural Language Texts Using GPT

by Maeda, Kazuhiro, Kurata, Hiroyuki
Published in International journal of molecular sciences (14.04.2023)

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GPSuc: Global Prediction of Generic and Species-specific Succinylation Sites by aggregating multiple sequence features

GPSuc: Global Prediction of Generic and Species-specific Succinylation Sites by aggregating multiple sequence features

by Hasan, Md Mehedi, Kurata, Hiroyuki
Published in PloS one (12.10.2018)

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Journal Article

i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation

i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation

by Hasan, Md. Mehedi, Manavalan, Balachandran, Shoombuatong, Watshara, Khatun, Mst. Shamima, Kurata, Hiroyuki
Published in Plant molecular biology (01.05.2020)

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i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genome

i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genome

by Hasan, Md. Mehedi, Manavalan, Balachandran, Khatun, Mst. Shamima, Kurata, Hiroyuki
Published in International journal of biological macromolecules (15.08.2020)

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Improved kinetic model of Escherichia coli central carbon metabolism in batch and continuous cultures

Improved kinetic model of Escherichia coli central carbon metabolism in batch and continuous cultures

by Kurata, Hiroyuki, Sugimoto, Yurie
Published in Journal of bioscience and bioengineering (01.02.2018)

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Journal Article

ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations

ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations

by Khatun, Mst. Shamima, Hasan, Md. Mehedi, Shoombuatong, Watshara, Kurata, Hiroyuki
Published in Journal of computer-aided molecular design (01.12.2020)

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NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning

NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning

by Hasan, Md Mehedi, Alam, Md Ashad, Shoombuatong, Watshara, Deng, Hong-Wen, Manavalan, Balachandran, Kurata, Hiroyuki
Published in Briefings in bioinformatics (05.11.2021)

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Journal Article

PreAIP: Computational Prediction of Anti-inflammatory Peptides by Integrating Multiple Complementary Features

PreAIP: Computational Prediction of Anti-inflammatory Peptides by Integrating Multiple Complementary Features

by Khatun, Mst Shamima, Hasan, Md Mehedi, Kurata, Hiroyuki
Published in Frontiers in genetics (05.03.2019)

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Journal Article

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

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

by Tsukiyama, Sho, Hasan, Md Mehedi, Deng, Hong-Wen, Kurata, Hiroyuki
Published in Briefings in bioinformatics (10.03.2022)

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Synthesis and Characterization of Quarteranthene: Elucidating the Characteristics of the Edge State of Graphene Nanoribbons at the Molecular Level

Synthesis and Characterization of Quarteranthene: Elucidating the Characteristics of the Edge State of Graphene Nanoribbons at the Molecular Level

by Konishi, Akihito, Hirao, Yasukazu, Matsumoto, Kouzou, Kurata, Hiroyuki, Kishi, Ryohei, Shigeta, Yasuteru, Nakano, Masayoshi, Tokunaga, Kazuya, Kamada, Kenji, Kubo, Takashi
Published in Journal of the American Chemical Society (30.01.2013)

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Journal Article

Critical evaluation of web-based DNA N6-methyladenine site prediction tools

Critical evaluation of web-based DNA N6-methyladenine site prediction tools

by Hasan, Md Mehedi, Shoombuatong, Watshara, Kurata, Hiroyuki, Manavalan, Balachandran
Published in Briefings in functional genomics (17.07.2021)

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PredIL13: Stacking a variety of machine and deep learning methods with ESM-2 language model for identifying IL13-inducing peptides

PredIL13: Stacking a variety of machine and deep learning methods with ESM-2 language model for identifying IL13-inducing peptides

by Kurata, Hiroyuki, Harun-Or-Roshid, Md, Tsukiyama, Sho, Maeda, Kazuhiro
Published in PloS one (22.08.2024)

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Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2'-O-methylation sites in human RNA

Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2'-O-methylation sites in human RNA

by Harun-Or-Roshid, Md, Pham, Nhat Truong, Manavalan, Balachandran, Kurata, Hiroyuki
Published in PloS one (26.06.2024)

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IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations

IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations

by Hasan, Md Mehedi, Alam, Md Ashad, Shoombuatong, Watshara, Kurata, Hiroyuki
Published in Journal of computer-aided molecular design (01.03.2021)

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Journal Article

Computational identification of microbial phosphorylation sites by the enhanced characteristics of sequence information

Computational identification of microbial phosphorylation sites by the enhanced characteristics of sequence information

by Hasan, Md. Mehedi, Rashid, Md. Mamunur, Khatun, Mst. Shamima, Kurata, Hiroyuki
Published in Scientific reports (04.06.2019)

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Journal Article

Decomposition of Unpolarized Fluorescence Spectrum of Uniaxially Oriented 1,3,5-Triphenylbenzene Microcrystals Into Polarized Fluorescence Spectra

Decomposition of Unpolarized Fluorescence Spectrum of Uniaxially Oriented 1,3,5-Triphenylbenzene Microcrystals Into Polarized Fluorescence Spectra

by Hara, Michihiro, Takeshita, Tatsuya, Kurata, Hiroyuki, Kimura, Tsunehisa
Published in Journal of fluorescence (01.07.2023)

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