Araki M - Search Results

1

A macrocyclic kinase inhibitor overcomes triple resistant mutations in EGFR-positive lung cancer.

Suzuki M, Uchibori K, Oh-Hara T, Nomura Y, Suzuki R, Takemoto A, Araki M, Matsumoto S, Sagae Y, Kukimoto-Niino M, Kawase Y, Shirouzu M, Okuno Y, Nishio M, Fujita N, Katayama R. Suzuki M, et al. Among authors: araki m. NPJ Precis Oncol. 2024 Feb 23;8(1):46. doi: 10.1038/s41698-024-00542-9. NPJ Precis Oncol. 2024. PMID: 38396251 Free PMC article.

2

Selective cleavages of tRNAPhe with secondary and tertiary structures by enediyne antitumor antibiotics.

Sugiura Y, Totsuka R, Araki M, Okuno Y. Sugiura Y, et al. Among authors: araki m. Bioorg Med Chem. 1997 Jun;5(6):1229-34. doi: 10.1016/s0968-0896(97)00052-7. Bioorg Med Chem. 1997. PMID: 9222516

3

Allosteric regulation of a ribozyme activity through ligand-induced conformational change.

Araki M, Okuno Y, Hara Y, Sugiura Y. Araki M, et al. Nucleic Acids Res. 1998 Jul 15;26(14):3379-84. doi: 10.1093/nar/26.14.3379. Nucleic Acids Res. 1998. PMID: 9649622 Free PMC article.

4

Expression mechanism of the allosteric interactions in a ribozyme catalysis.

Araki M, Okuno Y, Sugiura Y. Araki M, et al. Nucleic Acids Symp Ser. 2000;(44):205-6. doi: 10.1093/nass/44.1.205. Nucleic Acids Symp Ser. 2000. PMID: 12903340

5

The Effect of Conformational Flexibility on Binding Free Energy Estimation between Kinases and Their Inhibitors.

Araki M, Kamiya N, Sato M, Nakatsui M, Hirokawa T, Okuno Y. Araki M, et al. J Chem Inf Model. 2016 Dec 27;56(12):2445-2456. doi: 10.1021/acs.jcim.6b00398. Epub 2016 Dec 6. J Chem Inf Model. 2016. PMID: 28024406

6

Brigatinib combined with anti-EGFR antibody overcomes osimertinib resistance in EGFR-mutated non-small-cell lung cancer.

Uchibori K, Inase N, Araki M, Kamada M, Sato S, Okuno Y, Fujita N, Katayama R. Uchibori K, et al. Among authors: araki m. Nat Commun. 2017 Mar 13;8:14768. doi: 10.1038/ncomms14768. Nat Commun. 2017. PMID: 28287083 Free PMC article.

7

Accurate Prediction of Complex Structure and Affinity for a Flexible Protein Receptor and Its Inhibitor.

Bekker GJ, Kamiya N, Araki M, Fukuda I, Okuno Y, Nakamura H. Bekker GJ, et al. Among authors: araki m. J Chem Theory Comput. 2017 Jun 13;13(6):2389-2399. doi: 10.1021/acs.jctc.6b01127. Epub 2017 May 18. J Chem Theory Comput. 2017. PMID: 28482660

8

Machine learning accelerates MD-based binding pose prediction between ligands and proteins.

Terayama K, Iwata H, Araki M, Okuno Y, Tsuda K. Terayama K, et al. Among authors: araki m. Bioinformatics. 2018 Mar 1;34(5):770-778. doi: 10.1093/bioinformatics/btx638. Bioinformatics. 2018. PMID: 29040432 Free PMC article.

9

Core Binding Site of a Thioflavin-T-Derived Imaging Probe on Amyloid β Fibrils Predicted by Computational Methods.

Kawai R, Araki M, Yoshimura M, Kamiya N, Ono M, Saji H, Okuno Y. Kawai R, et al. Among authors: araki m. ACS Chem Neurosci. 2018 May 16;9(5):957-966. doi: 10.1021/acschemneuro.7b00389. Epub 2018 Jan 30. ACS Chem Neurosci. 2018. PMID: 29381047

10

A secondary RET mutation in the activation loop conferring resistance to vandetanib.

Nakaoku T, Kohno T, Araki M, Niho S, Chauhan R, Knowles PP, Tsuchihara K, Matsumoto S, Shimada Y, Mimaki S, Ishii G, Ichikawa H, Nagatoishi S, Tsumoto K, Okuno Y, Yoh K, McDonald NQ, Goto K. Nakaoku T, et al. Among authors: araki m. Nat Commun. 2018 Feb 12;9(1):625. doi: 10.1038/s41467-018-02994-7. Nat Commun. 2018. PMID: 29434222 Free PMC article.

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