Kuroda M - Search Results

1

A public-private partnership to enrich the development of in silico predictive models for pharmacokinetic and cardiotoxic properties.

Komura H, Watanabe R, Kawashima H, Ohashi R, Kuroda M, Sato T, Honma T, Mizuguchi K. Komura H, et al. Among authors: kuroda m. Drug Discov Today. 2021 May;26(5):1275-1283. doi: 10.1016/j.drudis.2021.01.024. Epub 2021 Jan 28. Drug Discov Today. 2021. PMID: 33516857 Free article. Review.

2

Discovery of evocalcet, a next-generation calcium-sensing receptor agonist for the treatment of hyperparathyroidism.

Miyazaki H, Ikeda Y, Sakurai O, Miyake T, Tsubota R, Okabe J, Kuroda M, Hisada Y, Yanagida T, Yoneda H, Tsukumo Y, Tokunaga S, Kawata T, Ohashi R, Fukuda H, Kojima K, Kannami A, Kifuji T, Sato N, Idei A, Iguchi T, Sakairi T, Moritani Y. Miyazaki H, et al. Among authors: kuroda m. Bioorg Med Chem Lett. 2018 Jun 15;28(11):2055-2060. doi: 10.1016/j.bmcl.2018.04.055. Epub 2018 Apr 24. Bioorg Med Chem Lett. 2018. PMID: 29724589 Free article.

3

Development of an In Silico Prediction Model for P-glycoprotein Efflux Potential in Brain Capillary Endothelial Cells toward the Prediction of Brain Penetration.

Watanabe R, Esaki T, Ohashi R, Kuroda M, Kawashima H, Komura H, Natsume-Kitatani Y, Mizuguchi K. Watanabe R, et al. Among authors: kuroda m. J Med Chem. 2021 Mar 11;64(5):2725-2738. doi: 10.1021/acs.jmedchem.0c02011. Epub 2021 Feb 23. J Med Chem. 2021. PMID: 33619967 Free article.

4

Utilizing public and private sector data to build better machine learning models for the prediction of pharmacokinetic parameters.

Kuroda M, Watanabe R, Esaki T, Kawashima H, Ohashi R, Sato T, Honma T, Komura H, Mizuguchi K. Kuroda M, et al. Drug Discov Today. 2022 Nov;27(11):103339. doi: 10.1016/j.drudis.2022.103339. Epub 2022 Aug 13. Drug Discov Today. 2022. PMID: 35973660 Free article.

5

Structural dynamics of the N-terminal SH2 domain of PI3K in its free and CD28-bound states.

Hosoe Y, Miyanoiri Y, Re S, Ochi S, Asahina Y, Kawakami T, Kuroda M, Mizuguchi K, Oda M. Hosoe Y, et al. Among authors: kuroda m. FEBS J. 2023 May;290(9):2366-2378. doi: 10.1111/febs.16666. Epub 2022 Nov 4. FEBS J. 2023. PMID: 36282120 Free article.

6

DruMAP: A Novel Drug Metabolism and Pharmacokinetics Analysis Platform.

Kawashima H, Watanabe R, Esaki T, Kuroda M, Nagao C, Natsume-Kitatani Y, Ohashi R, Komura H, Mizuguchi K. Kawashima H, et al. Among authors: kuroda m. J Med Chem. 2023 Jul 27;66(14):9697-9709. doi: 10.1021/acs.jmedchem.3c00481. Epub 2023 Jul 14. J Med Chem. 2023. PMID: 37449459 Free PMC article.

7

Idiopathic pulmonary fibrosis-specific Bayesian network integrating extracellular vesicle proteome and clinical information.

Tomoto M, Mineharu Y, Sato N, Tamada Y, Nogami-Itoh M, Kuroda M, Adachi J, Takeda Y, Mizuguchi K, Kumanogoh A, Natsume-Kitatani Y, Okuno Y. Tomoto M, et al. Among authors: kuroda m. Sci Rep. 2024 Jan 15;14(1):1315. doi: 10.1038/s41598-023-50905-8. Sci Rep. 2024. PMID: 38225283 Free PMC article.

8

A novel descriptor based on atom-pair properties.

Kuroda M. Kuroda M. J Cheminform. 2017 Jan 5;9:1. doi: 10.1186/s13321-016-0187-6. eCollection 2017. J Cheminform. 2017. PMID: 28316652 Free PMC article.

9

Structure-Activity Relationships of Anti-microRNA Oligonucleotides Containing Cationic Guanidine-Modified Nucleic Acids.

Takegawa-Araki T, Kumagai S, Yasukawa K, Kuroda M, Sasaki T, Obika S. Takegawa-Araki T, et al. Among authors: kuroda m. J Med Chem. 2022 Feb 10;65(3):2139-2148. doi: 10.1021/acs.jmedchem.1c01680. Epub 2022 Jan 27. J Med Chem. 2022. PMID: 35084859

10

Latent inter-organ mechanism of idiopathic pulmonary fibrosis unveiled by a generative computational approach.

Kozawa S, Tejima K, Takagi S, Kuroda M, Nogami-Itoh M, Kitamura H, Niwa T, Ogura T, Natsume-Kitatani Y, Sato TN. Kozawa S, et al. Among authors: kuroda m. Sci Rep. 2023 Dec 11;13(1):21981. doi: 10.1038/s41598-023-49281-0. Sci Rep. 2023. PMID: 38081956 Free PMC article.

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