Computational Identification of Amino-Acid Mutations That Further Improve the Activity of a Chalcone-Flavonone Isomerase From Glycine Max

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This article discusses a computational approach that combines multiple sequence alignment, positive selection detection, and molecular docking to identify and design beneficial amino-acid mutations that further improve the intramolecular-cyclization activity of a chalcone-flavonone isomerase from Glycine max (GmCHI).

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8 p.

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Yuan, Hui; Wu, Jiaqi; Wang, Xiaoqiang; Chen, Jiakuan; Zhong, Yang; Huang, Qiang et al. February 24, 2017.

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This article discusses a computational approach that combines multiple sequence alignment, positive selection detection, and molecular docking to identify and design beneficial amino-acid mutations that further improve the intramolecular-cyclization activity of a chalcone-flavonone isomerase from Glycine max (GmCHI).

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8 p.

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  • Frontiers in Plant Science, 8(248), Frontiers Research Foundation, February 24, 2017, pp. 1-8

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  • Publication Title: Frontiers in Plant Science
  • Volume: 8
  • Article Identifier: 248
  • Peer Reviewed: Yes

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  • February 24, 2017

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  • March 31, 2017, 9:51 a.m.

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  • Dec. 1, 2023, 12:25 p.m.

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Yuan, Hui; Wu, Jiaqi; Wang, Xiaoqiang; Chen, Jiakuan; Zhong, Yang; Huang, Qiang et al. Computational Identification of Amino-Acid Mutations That Further Improve the Activity of a Chalcone-Flavonone Isomerase From Glycine Max, article, February 24, 2017; Lausanne, Switzerland. (https://digital.library.unt.edu/ark:/67531/metadc967156/: accessed March 19, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Arts and Sciences.

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