Search Results - "Taneishi, Kei"

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  1. 1

    Autoencoder-Based Detection of Dynamic Allostery Triggered by Ligand Binding Based on Molecular Dynamics by Tsuchiya, Yuko, Taneishi, Kei, Yonezawa, Yasushige

    “…Dynamic allostery on proteins, triggered by regulator binding or chemical modifications, transmits information from the binding site to distant regions,…”
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    Journal Article
  2. 2

    Autoencoder-based detection of the residues involved in G protein-coupled receptor signaling by Tsuchiya, Yuko, Taneishi, Kei, Yonezawa, Yasushige

    Published in Scientific reports (06-10-2021)
    “…Regulator binding and mutations alter protein dynamics. The transmission of the signal of these alterations to distant sites through protein motion results in…”
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  3. 3

    CGBVS‐DNN: Prediction of Compound‐protein Interactions Based on Deep Learning by Hamanaka, Masatoshi, Taneishi, Kei, Iwata, Hiroaki, Ye, Jun, Pei, Jianguo, Hou, Jinlong, Okuno, Yasushi

    Published in Molecular informatics (01-01-2017)
    “…Computational prediction of compound‐protein interactions (CPIs) is of great importance for drug design as the first step in in‐silico screening. We previously…”
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    Association between UGT1A12828 genotype and lung cancer in the Japanese population by Nishikawa, Yoshitaka, Kanai, Masashi, Narahara, Maiko, Tamon, Akiko, Brown, J. B., Taneishi, Kei, Nakatsui, Masahiko, Okamoto, Kazuya, Uneno, Yu, Yamaguchi, Daisuke, Tomono, Teruko, Mori, Yukiko, Matsumoto, Shigemi, Okuno, Yasushi, Muto, Manabu

    Published in International journal of clinical oncology (01-04-2017)
    “…Background Lung cancer is the leading cause of cancer death and is closely linked to tobacco smoking. Genetic polymorphisms in genes that encode enzymes…”
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  7. 7

    Structure-based analyses of gut microbiome-related proteins by neural networks and molecular dynamics simulations by Taneishi, Kei, Tsuchiya, Yuko

    Published in Current opinion in structural biology (01-04-2022)
    “…An imbalance in the gut microbiome is linked to immune disorders, such as autoimmune, allergic, and chronic inflammatory disorders. Elucidation of disease…”
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  8. 8

    On computational complexity of graph inference from counting by Fazekas, Szilárd Zsolt, Ito, Hiro, Okuno, Yasushi, Seki, Shinnosuke, Taneishi, Kei

    Published in Natural computing (01-12-2013)
    “…In de novo drug design, chemical compounds are quantitized as real-valued vectors called chemical descriptors, and an optimization algorithm runs on known…”
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  9. 9

    Combination of host immune metabolic biomarkers for the PD-1 blockade cancer immunotherapy by Hatae, Ryusuke, Chamoto, Kenji, Kim, Young Hak, Sonomura, Kazuhiro, Taneishi, Kei, Kawaguchi, Shuji, Yoshida, Hironori, Ozasa, Hiroaki, Sakamori, Yuichi, Akrami, Maryam, Fagarasan, Sidonia, Masuda, Izuru, Okuno, Yasushi, Matsuda, Fumihiko, Hirai, Toyohiro, Honjo, Tasuku

    Published in JCI insight (30-01-2020)
    “…BACKGROUNDCurrent clinical biomarkers for the programmed cell death 1 (PD-1) blockade therapy are insufficient because they rely only on the tumor properties,…”
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    Development and validation of a set of six adaptable prognosis prediction by Uneno, Yu, Taneishi, Kei, Kanai, Masashi, Okamoto, Kazuya, Yamamoto, Yosuke, Yoshioka, Akira, Hiramoto, Shuji, Nozaki, Akira, Nishikawa, Yoshitaka, Yamaguchi, Daisuke, Tomono, Teruko, Nakatsui, Masahiko, Baba, Mika, Morita, Tatsuya, Matsumoto, Shigemi, Kuroda, Tomohiro, Okuno, Yasushi, Muto, Manabu

    Published in PloS one (24-08-2017)
    “…Background We aimed to develop an adaptable prognosis prediction model that could be applied at any time point during the treatment course for patients with…”
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  12. 12

    GLIDA: GPCR-ligand database for chemical genomic drug discovery by Okuno, Yasushi, Yang, Jiyoon, Taneishi, Kei, Yabuuchi, Hiroaki, Tsujimoto, Gozoh

    Published in Nucleic acids research (01-01-2006)
    “…G-protein coupled receptors (GPCRs) represent one of the most important families of drug targets in pharmaceutical development. GPCR-LIgand DAtabase (GLIDA) is…”
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