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Thermal stability of pepsin: A predictive thermodynamic model of a multi-domain protein

Pepsin is generally used in the preparation of F(ab)(2) fragments from antibodies. The antibodies that are one of the largest and fastest growing categories of bio- pharmaceutical candidates. Differential scanning calorimetric is principally suitable method to follow the energetics of a multi-domain...

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Autores principales: Rastegari, Ali Asghar, Buzari, Behnaz, Bordbar, Abdol-Khalegh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5614592/
https://www.ncbi.nlm.nih.gov/pubmed/28956016
http://dx.doi.org/10.1016/j.bbrep.2017.01.005
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author Rastegari, Ali Asghar
Buzari, Behnaz
Bordbar, Abdol-Khalegh
author_facet Rastegari, Ali Asghar
Buzari, Behnaz
Bordbar, Abdol-Khalegh
author_sort Rastegari, Ali Asghar
collection PubMed
description Pepsin is generally used in the preparation of F(ab)(2) fragments from antibodies. The antibodies that are one of the largest and fastest growing categories of bio- pharmaceutical candidates. Differential scanning calorimetric is principally suitable method to follow the energetics of a multi-domain, fragment to perform a more exhaustive description of the thermodynamics in an associating system. The thermodynamical models of analysis include the construction of a simultaneous fitting of a theoretical expression. The expression depending on the equilibrium unfolding data from multimeric proteins that have a two-state monomer. The aim of the present study is considering the DSC data in connection with pepsin going through reversible thermal denaturation. Afterwards, we calculate the homology modeling identification of pepsin in complex multi-domain families with varied domain architectures. In order to analyze the DSC data, the thermal denaturation of multimer proteins were considered, the “two independent two-state sequential transitions with domains dissociation model” was introduced by using of the effective ΔG concept. The reversible unfolding of the protein description was followed by the two-state transition quantities which is a slower irreversible process of aggregation. The protein unfolding is best described by two non-ideal transitions, suggesting the presence of unfolding intermediates. These evaluations are also applicable for high throughput investigation of protein stability.
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spelling pubmed-56145922017-09-27 Thermal stability of pepsin: A predictive thermodynamic model of a multi-domain protein Rastegari, Ali Asghar Buzari, Behnaz Bordbar, Abdol-Khalegh Biochem Biophys Rep Research Article Pepsin is generally used in the preparation of F(ab)(2) fragments from antibodies. The antibodies that are one of the largest and fastest growing categories of bio- pharmaceutical candidates. Differential scanning calorimetric is principally suitable method to follow the energetics of a multi-domain, fragment to perform a more exhaustive description of the thermodynamics in an associating system. The thermodynamical models of analysis include the construction of a simultaneous fitting of a theoretical expression. The expression depending on the equilibrium unfolding data from multimeric proteins that have a two-state monomer. The aim of the present study is considering the DSC data in connection with pepsin going through reversible thermal denaturation. Afterwards, we calculate the homology modeling identification of pepsin in complex multi-domain families with varied domain architectures. In order to analyze the DSC data, the thermal denaturation of multimer proteins were considered, the “two independent two-state sequential transitions with domains dissociation model” was introduced by using of the effective ΔG concept. The reversible unfolding of the protein description was followed by the two-state transition quantities which is a slower irreversible process of aggregation. The protein unfolding is best described by two non-ideal transitions, suggesting the presence of unfolding intermediates. These evaluations are also applicable for high throughput investigation of protein stability. Elsevier 2017-01-25 /pmc/articles/PMC5614592/ /pubmed/28956016 http://dx.doi.org/10.1016/j.bbrep.2017.01.005 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Rastegari, Ali Asghar
Buzari, Behnaz
Bordbar, Abdol-Khalegh
Thermal stability of pepsin: A predictive thermodynamic model of a multi-domain protein
title Thermal stability of pepsin: A predictive thermodynamic model of a multi-domain protein
title_full Thermal stability of pepsin: A predictive thermodynamic model of a multi-domain protein
title_fullStr Thermal stability of pepsin: A predictive thermodynamic model of a multi-domain protein
title_full_unstemmed Thermal stability of pepsin: A predictive thermodynamic model of a multi-domain protein
title_short Thermal stability of pepsin: A predictive thermodynamic model of a multi-domain protein
title_sort thermal stability of pepsin: a predictive thermodynamic model of a multi-domain protein
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5614592/
https://www.ncbi.nlm.nih.gov/pubmed/28956016
http://dx.doi.org/10.1016/j.bbrep.2017.01.005
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