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Insights Into The Effects of Amino Acid Substitutions on The Stability of Reteplase Structure: A Molecular Dynamics Simulation Study

BACKGROUND: Reteplase (recombinant plasminogen activator, r-PA) is a recombinant protein designed to imitate the endogenous tissue plasminogen activator and catalyze the plasmin production. It is known that the application of reteplase is limited by the complex production processes and protein’s sta...

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Autores principales: Haji-Allahverdipoor, Kaveh, Jalali Javaran, Mokhtar, Rashidi Monfared, Sajad, Khadem-Erfan, Mohamad Bagher, Nikkhoo, Bahram, Bahrami Rad, Zhila, Eslami, Habib, Nasseri, Sherko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Institute of Genetic Engineering and Biotechnology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938932/
https://www.ncbi.nlm.nih.gov/pubmed/36811105
http://dx.doi.org/10.30498/ijb.2022.308798.3175
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author Haji-Allahverdipoor, Kaveh
Jalali Javaran, Mokhtar
Rashidi Monfared, Sajad
Khadem-Erfan, Mohamad Bagher
Nikkhoo, Bahram
Bahrami Rad, Zhila
Eslami, Habib
Nasseri, Sherko
author_facet Haji-Allahverdipoor, Kaveh
Jalali Javaran, Mokhtar
Rashidi Monfared, Sajad
Khadem-Erfan, Mohamad Bagher
Nikkhoo, Bahram
Bahrami Rad, Zhila
Eslami, Habib
Nasseri, Sherko
author_sort Haji-Allahverdipoor, Kaveh
collection PubMed
description BACKGROUND: Reteplase (recombinant plasminogen activator, r-PA) is a recombinant protein designed to imitate the endogenous tissue plasminogen activator and catalyze the plasmin production. It is known that the application of reteplase is limited by the complex production processes and protein’s stability challenges. Computational redesign of proteins has gained momentum in recent years, particularly as a powerful tool for improving protein stability and consequently its production efficiency. Hence, in the current study, we implemented computational approaches to improve r-PA conformational stability, which fairly correlates with protein’s resistance to proteolysis. OBJECTIVES: The current study was developed in order to evaluate the effect of amino acid substitutions on the stability of reteplase structure using molecular dynamic simulations and computational predictions. MATERIALS AND METHODS: Several web servers designed for mutation analysis were utilized to select appropriate mutations. Additionally, the experimentally reported mutation, R103S, converting wild type r-PA into non-cleavable form, was also employed. Firstly, mutant collection, consisting of 15 structures, was constructed based on the combinations of four designated mutations. Then, 3D structures were generated using MODELLER. Finally, 17 independent 20-ns molecular dynamics (MD) simulations were conducted and different analysis were performed like root-mean-square deviation (RMSD), root-mean-square fluctuations (RMSF), secondary structure analysis, number of hydrogen bonds, principal components analysis (PCA), eigenvector projection, and density analysis. RESULTS: Predicted mutations successfully compensated the more flexible conformation caused by R103S substitution, so, improved conformational stability was analyzed from MD simulations. In particular, R103S/A286I/G322I indicated the best results and remarkably enhanced the protein stability. CONCLUSION: The conformational stability conferred by these mutations will probably lead to more protection of r-PA in protease-rich environments in various recombinant systems and potentially enhance its production and expression level.
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spelling pubmed-99389322023-02-20 Insights Into The Effects of Amino Acid Substitutions on The Stability of Reteplase Structure: A Molecular Dynamics Simulation Study Haji-Allahverdipoor, Kaveh Jalali Javaran, Mokhtar Rashidi Monfared, Sajad Khadem-Erfan, Mohamad Bagher Nikkhoo, Bahram Bahrami Rad, Zhila Eslami, Habib Nasseri, Sherko Iran J Biotechnol Research Article BACKGROUND: Reteplase (recombinant plasminogen activator, r-PA) is a recombinant protein designed to imitate the endogenous tissue plasminogen activator and catalyze the plasmin production. It is known that the application of reteplase is limited by the complex production processes and protein’s stability challenges. Computational redesign of proteins has gained momentum in recent years, particularly as a powerful tool for improving protein stability and consequently its production efficiency. Hence, in the current study, we implemented computational approaches to improve r-PA conformational stability, which fairly correlates with protein’s resistance to proteolysis. OBJECTIVES: The current study was developed in order to evaluate the effect of amino acid substitutions on the stability of reteplase structure using molecular dynamic simulations and computational predictions. MATERIALS AND METHODS: Several web servers designed for mutation analysis were utilized to select appropriate mutations. Additionally, the experimentally reported mutation, R103S, converting wild type r-PA into non-cleavable form, was also employed. Firstly, mutant collection, consisting of 15 structures, was constructed based on the combinations of four designated mutations. Then, 3D structures were generated using MODELLER. Finally, 17 independent 20-ns molecular dynamics (MD) simulations were conducted and different analysis were performed like root-mean-square deviation (RMSD), root-mean-square fluctuations (RMSF), secondary structure analysis, number of hydrogen bonds, principal components analysis (PCA), eigenvector projection, and density analysis. RESULTS: Predicted mutations successfully compensated the more flexible conformation caused by R103S substitution, so, improved conformational stability was analyzed from MD simulations. In particular, R103S/A286I/G322I indicated the best results and remarkably enhanced the protein stability. CONCLUSION: The conformational stability conferred by these mutations will probably lead to more protection of r-PA in protease-rich environments in various recombinant systems and potentially enhance its production and expression level. National Institute of Genetic Engineering and Biotechnology 2023-01-01 /pmc/articles/PMC9938932/ /pubmed/36811105 http://dx.doi.org/10.30498/ijb.2022.308798.3175 Text en Copyright: © 2021 The Author(s); Published by Iranian Journal of Biotechnology https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 Unported License, ( http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Haji-Allahverdipoor, Kaveh
Jalali Javaran, Mokhtar
Rashidi Monfared, Sajad
Khadem-Erfan, Mohamad Bagher
Nikkhoo, Bahram
Bahrami Rad, Zhila
Eslami, Habib
Nasseri, Sherko
Insights Into The Effects of Amino Acid Substitutions on The Stability of Reteplase Structure: A Molecular Dynamics Simulation Study
title Insights Into The Effects of Amino Acid Substitutions on The Stability of Reteplase Structure: A Molecular Dynamics Simulation Study
title_full Insights Into The Effects of Amino Acid Substitutions on The Stability of Reteplase Structure: A Molecular Dynamics Simulation Study
title_fullStr Insights Into The Effects of Amino Acid Substitutions on The Stability of Reteplase Structure: A Molecular Dynamics Simulation Study
title_full_unstemmed Insights Into The Effects of Amino Acid Substitutions on The Stability of Reteplase Structure: A Molecular Dynamics Simulation Study
title_short Insights Into The Effects of Amino Acid Substitutions on The Stability of Reteplase Structure: A Molecular Dynamics Simulation Study
title_sort insights into the effects of amino acid substitutions on the stability of reteplase structure: a molecular dynamics simulation study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938932/
https://www.ncbi.nlm.nih.gov/pubmed/36811105
http://dx.doi.org/10.30498/ijb.2022.308798.3175
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