Protein structure predictions by enhanced conformational sampling methods-Reference-Cited by-同舟云学术

Protein structure predictions by enhanced conformational sampling methods

Published:2019 Issue:0 Volume:16 Page:344-366
ISSN:2189-4779
Container-title:Biophysics and Physicobiology
language:en
Short-container-title:BIOPHYSICS

Author:

Okamoto Yuko¹²³⁴⁵

Affiliation:

1. Department of Physics, Graduate School of Science, Nagoya University

2. Structural Biology Research Center, Graduate School of Science, Nagoya University

3. Center for Computational Science, Graduate School of Engineering, Nagoya University

4. Information Technology Center, Nagoya University

5. JST-CREST

Publisher

Biophysical Society of Japan

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/biophysico/16/0/16_344/_pdf

Reference85 articles.

1. [15] Nakai, T., Kidera, A. & Nakamura, H. Intrinsic nature of the three-dimensional structure of proteins as determined by distance geometry with good sampling properties. J. Biomol. NMR 3, 19–40 (1993).

2. [17] Kawai, H., Kikuchi, T. & Okamoto, Y. A prediction of tertiary structures of peptide by the Monte Carlo simulated annealing method. Protein Eng. 3, 85–94 (1989).

3. [18] Wilson, C. & Doniach, S. A computer model to dynamically simulate protein folding: studies with crambin. Proteins 6, 193–209 (1989).

4. [19] Kawai, H., Okamoto, Y., Fukugita, M., Nakazawa, T. & Kikuchi, T. Prediction of α-helix folding of isolated C-peptide of ribonuclease A by Monte Calro simulated annealing. Chem. Lett. 20, 213–216 (1991).

5. [20] Okamoto, Y., Fukugita, M., Nakazawa, T. & Kawai, H. α-Helix folding by Monte Carlo simulated annealing in isolated C-peptide of ribonuclease A. Protein Eng. 4, 639–647 (1991).

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