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Combined Computer-Aided Predictors to Improve the Thermostability of Nattokinase

Food-derived nattokinase has strong thrombolytic activity and few side effects. In the field of medicine, nattokinase has been developed as an adjuvant drug for the treatment of thrombosis, and nattokinase-rich beverages and health foods have also shown great potential in the field of food developme...

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Autores principales: Li, Yuan, Chen, Liangqi, Tang, Xiyu, Zhu, Wenhui, Ma, Aixia, Shi, Changyu, Li, Jinyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453301/
https://www.ncbi.nlm.nih.gov/pubmed/37628044
http://dx.doi.org/10.3390/foods12163045
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author Li, Yuan
Chen, Liangqi
Tang, Xiyu
Zhu, Wenhui
Ma, Aixia
Shi, Changyu
Li, Jinyao
author_facet Li, Yuan
Chen, Liangqi
Tang, Xiyu
Zhu, Wenhui
Ma, Aixia
Shi, Changyu
Li, Jinyao
author_sort Li, Yuan
collection PubMed
description Food-derived nattokinase has strong thrombolytic activity and few side effects. In the field of medicine, nattokinase has been developed as an adjuvant drug for the treatment of thrombosis, and nattokinase-rich beverages and health foods have also shown great potential in the field of food development. At present, the poor thermostability of nattokinase limits its industrial production and application. In this study, we used several thermostability-prediction algorithms to predict nattokinase from Bacillus mojavensis LY-06 (AprY), and screened two variants S33T and T174V with increased thermostability and fibrinolytic activity. The t(1/2) of S33T and T174V were 8.87-fold and 2.51-fold those of the wild type AprY, respectively, and their enzyme activities were also increased (1.17-fold and 1.28-fold, respectively). Although the thermostability of N218L was increased by 2.7 times, the fibrinolytic activity of N218L was only 73.3% of that of wild type AprY. The multiple-point mutation results showed that S33T-N218L and S33T-T174V-N218L variants lost their activity, and the T174V-N218L variant did not show any significant change in catalytic performance, while S33T-T174V increased its thermostability and activity by 21.3% and 24.8%, respectively. Although the S33T-T174V variant did not show the additive effect of thermostability, it combined the excellent transient thermostability of S33T with the better thrombolytic activity of T174V. Bioinformatics analysis showed that the overall structure of S33T and T174V variants tended to be stable, while the structure of S33T-T174V variant was more flexible. Local structure analysis showed that the increased rigidity of the active center region (positions 64–75) and the key loop region (positions 129–130, 155–163, 187–192, 237–241, and 268–270) determined the increased thermostability of all variants. In addition, the enhanced flexibility of S33T-T174V variant in the Ca1 binding region (positions 1–4, 75–82) and the peripheral region of the catalytic pocket (positions 210–216) may account for the inability to superpose its thermostability. We explored the effective strategy to enhance the thermostability of nattokinase, and the resulting variants have potential industrial production and application.
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spelling pubmed-104533012023-08-26 Combined Computer-Aided Predictors to Improve the Thermostability of Nattokinase Li, Yuan Chen, Liangqi Tang, Xiyu Zhu, Wenhui Ma, Aixia Shi, Changyu Li, Jinyao Foods Article Food-derived nattokinase has strong thrombolytic activity and few side effects. In the field of medicine, nattokinase has been developed as an adjuvant drug for the treatment of thrombosis, and nattokinase-rich beverages and health foods have also shown great potential in the field of food development. At present, the poor thermostability of nattokinase limits its industrial production and application. In this study, we used several thermostability-prediction algorithms to predict nattokinase from Bacillus mojavensis LY-06 (AprY), and screened two variants S33T and T174V with increased thermostability and fibrinolytic activity. The t(1/2) of S33T and T174V were 8.87-fold and 2.51-fold those of the wild type AprY, respectively, and their enzyme activities were also increased (1.17-fold and 1.28-fold, respectively). Although the thermostability of N218L was increased by 2.7 times, the fibrinolytic activity of N218L was only 73.3% of that of wild type AprY. The multiple-point mutation results showed that S33T-N218L and S33T-T174V-N218L variants lost their activity, and the T174V-N218L variant did not show any significant change in catalytic performance, while S33T-T174V increased its thermostability and activity by 21.3% and 24.8%, respectively. Although the S33T-T174V variant did not show the additive effect of thermostability, it combined the excellent transient thermostability of S33T with the better thrombolytic activity of T174V. Bioinformatics analysis showed that the overall structure of S33T and T174V variants tended to be stable, while the structure of S33T-T174V variant was more flexible. Local structure analysis showed that the increased rigidity of the active center region (positions 64–75) and the key loop region (positions 129–130, 155–163, 187–192, 237–241, and 268–270) determined the increased thermostability of all variants. In addition, the enhanced flexibility of S33T-T174V variant in the Ca1 binding region (positions 1–4, 75–82) and the peripheral region of the catalytic pocket (positions 210–216) may account for the inability to superpose its thermostability. We explored the effective strategy to enhance the thermostability of nattokinase, and the resulting variants have potential industrial production and application. MDPI 2023-08-14 /pmc/articles/PMC10453301/ /pubmed/37628044 http://dx.doi.org/10.3390/foods12163045 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Yuan
Chen, Liangqi
Tang, Xiyu
Zhu, Wenhui
Ma, Aixia
Shi, Changyu
Li, Jinyao
Combined Computer-Aided Predictors to Improve the Thermostability of Nattokinase
title Combined Computer-Aided Predictors to Improve the Thermostability of Nattokinase
title_full Combined Computer-Aided Predictors to Improve the Thermostability of Nattokinase
title_fullStr Combined Computer-Aided Predictors to Improve the Thermostability of Nattokinase
title_full_unstemmed Combined Computer-Aided Predictors to Improve the Thermostability of Nattokinase
title_short Combined Computer-Aided Predictors to Improve the Thermostability of Nattokinase
title_sort combined computer-aided predictors to improve the thermostability of nattokinase
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453301/
https://www.ncbi.nlm.nih.gov/pubmed/37628044
http://dx.doi.org/10.3390/foods12163045
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