Cargando…
Molecular understanding of calorimetric protein unfolding experiments
Testing and predicting protein stability gained importance because proteins, including antibodies, became pharmacologically relevant in viral and cancer therapies. Isothermal scanning calorimetry is the principle method to study protein stability. Here, we use the excellent experimental heat capacit...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680786/ https://www.ncbi.nlm.nih.gov/pubmed/36425081 http://dx.doi.org/10.1016/j.bpr.2021.100037 |
_version_ | 1784834487362781184 |
---|---|
author | Seelig, Joachim Seelig, Anna |
author_facet | Seelig, Joachim Seelig, Anna |
author_sort | Seelig, Joachim |
collection | PubMed |
description | Testing and predicting protein stability gained importance because proteins, including antibodies, became pharmacologically relevant in viral and cancer therapies. Isothermal scanning calorimetry is the principle method to study protein stability. Here, we use the excellent experimental heat capacity C(p)(T) data from the literature for a critical inspection of protein unfolding as well as for the test of a new cooperative model. In the relevant literature, experimental temperature profiles of enthalpy, H(cal)(T), entropy, S(cal)(T), and free energy, G(cal)(T) are missing. First, we therefore calculate the experimental H(cal)(T), S(cal)(T), and G(cal)(T) from published C(p)(T) thermograms. Considering only the unfolding transition proper, the heat capacity and all thermodynamic functions are zero in the region of the native protein. In particular, the free energy of the folded proteins is also zero and G(cal)(T) displays a trapezoidal temperature profile when cold denaturation is included. Second, we simulate the DSC-measured thermodynamic properties with a new molecular model based on statistical-mechanical thermodynamics. The model quantifies the protein cooperativity and predicts the aggregate thermodynamic variables of the system with molecular parameters only. The new model provides a perfect simulation of all thermodynamic properties, including the observed trapezoidal G(cal)(T) temperature profile. Importantly, the new cooperative model can be applied to a broad range of protein sizes, including antibodies. It predicts not only heat and cold denaturation but also provides estimates of the unfolding kinetics and allows a comparison with molecular dynamics calculations and quasielastic neutron scattering experiments. |
format | Online Article Text |
id | pubmed-9680786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96807862022-11-23 Molecular understanding of calorimetric protein unfolding experiments Seelig, Joachim Seelig, Anna Biophys Rep (N Y) Article Testing and predicting protein stability gained importance because proteins, including antibodies, became pharmacologically relevant in viral and cancer therapies. Isothermal scanning calorimetry is the principle method to study protein stability. Here, we use the excellent experimental heat capacity C(p)(T) data from the literature for a critical inspection of protein unfolding as well as for the test of a new cooperative model. In the relevant literature, experimental temperature profiles of enthalpy, H(cal)(T), entropy, S(cal)(T), and free energy, G(cal)(T) are missing. First, we therefore calculate the experimental H(cal)(T), S(cal)(T), and G(cal)(T) from published C(p)(T) thermograms. Considering only the unfolding transition proper, the heat capacity and all thermodynamic functions are zero in the region of the native protein. In particular, the free energy of the folded proteins is also zero and G(cal)(T) displays a trapezoidal temperature profile when cold denaturation is included. Second, we simulate the DSC-measured thermodynamic properties with a new molecular model based on statistical-mechanical thermodynamics. The model quantifies the protein cooperativity and predicts the aggregate thermodynamic variables of the system with molecular parameters only. The new model provides a perfect simulation of all thermodynamic properties, including the observed trapezoidal G(cal)(T) temperature profile. Importantly, the new cooperative model can be applied to a broad range of protein sizes, including antibodies. It predicts not only heat and cold denaturation but also provides estimates of the unfolding kinetics and allows a comparison with molecular dynamics calculations and quasielastic neutron scattering experiments. Elsevier 2021-12-06 /pmc/articles/PMC9680786/ /pubmed/36425081 http://dx.doi.org/10.1016/j.bpr.2021.100037 Text en © 2021 The Author(s) https://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 | Article Seelig, Joachim Seelig, Anna Molecular understanding of calorimetric protein unfolding experiments |
title | Molecular understanding of calorimetric protein unfolding experiments |
title_full | Molecular understanding of calorimetric protein unfolding experiments |
title_fullStr | Molecular understanding of calorimetric protein unfolding experiments |
title_full_unstemmed | Molecular understanding of calorimetric protein unfolding experiments |
title_short | Molecular understanding of calorimetric protein unfolding experiments |
title_sort | molecular understanding of calorimetric protein unfolding experiments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680786/ https://www.ncbi.nlm.nih.gov/pubmed/36425081 http://dx.doi.org/10.1016/j.bpr.2021.100037 |
work_keys_str_mv | AT seeligjoachim molecularunderstandingofcalorimetricproteinunfoldingexperiments AT seeliganna molecularunderstandingofcalorimetricproteinunfoldingexperiments |