Araki M - Search Results

1

Identification of a new class of non-electrophilic TRPA1 agonists by a structure-based virtual screening approach.

Araki M, Kanda N, Iwata H, Sagae Y, Masuda K, Okuno Y. Araki M, et al. Bioorg Med Chem Lett. 2020 Jun 1;30(11):127142. doi: 10.1016/j.bmcl.2020.127142. Epub 2020 Mar 26. Bioorg Med Chem Lett. 2020. PMID: 32249116

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

Coupling between substrate binding and allosteric regulation in ribozyme catalysis.

Araki M, Hashima M, Okuno Y, Sugiura Y. Araki M, et al. Bioorg Med Chem. 2001 May;9(5):1155-63. doi: 10.1016/s0968-0896(00)00336-9. Bioorg Med Chem. 2001. PMID: 11377174

5

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

6

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

7

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.

8

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

9

[In silico drug discovery by supercomputer "K"].

Nakatsui M, Kamada M, Araki M, Okuno Y. Nakatsui M, et al. Among authors: araki m. Nihon Yakurigaku Zasshi. 2017;149(6):281-287. doi: 10.1254/fpj.149.281. Nihon Yakurigaku Zasshi. 2017. PMID: 28626121 Japanese. No abstract available.

10

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.

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