Performance Research of Clustering Methods for Detecting State Transition Trajectories in Hemoglobin-Reference-Cited by-同舟云学术

Performance Research of Clustering Methods for Detecting State Transition Trajectories in Hemoglobin

Published:2020 Issue:4 Volume:19 Page:154-157
ISSN:1347-1767
Container-title:Journal of Computer Chemistry, Japan
language:en
Short-container-title:J. Comput. Chem. Jpn.

Author:

TAKAMI Kei¹,KITAMURA Yukichi¹²,NAGAOKA Masataka¹³

Affiliation:

1. Department of Complex Systems Science, Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan

2. Department of Applied Chemistry and Biochemical Engineering, Faculty of Engineering, Shizuoka University, 3-5-1 Johoku Naka-ku Hamamatsu 432-8561, Japan

3. Future Value Creation Research Center, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan

Funder

Japan Science and Technology Agency

Publisher

Society of Computer Chemistry Japan

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/jccj/19/4/19_2021-0014/_pdf

Reference12 articles.

1. [1] J. F. Storz, (2019). "HEMOGLOBIN: Insights into Protein Structure, Function, and Evolution", Oxford, Oxford University Press. ISBN; 978–0-19–881068–1.

2. [2] M. Tanakayagi, I. Kurisaki, M. Nagaoka, Sci. Rep., 4, 4601 (2014). doi:10.1038/srep04601 PMID:24710521

3. [3] K. Suzuki, (2019) "Theoretical Research of Allosteric T R State Transition of Human Hemoglobin: Application of Principal Component Analysis and Motion Tree Method", Master thesis, Nagoya University, Japan.

4. [4] J. Paparrizos, L. Gravano, ACM Trans. Database Syst., 42, 1 (2017). doi:10.1145/3044711

5. [5] H. Sakoe, S. Chiba, IEEE Trans. Acoust. Speech Signal Process., 26, 43 (1978). doi:10.1109/TASSP.1978.1163055

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