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Investigation of the pH-dependent aggregation mechanisms of GCSF using low resolution protein characterization techniques and advanced molecular dynamics simulations

Granulocyte-colony stimulating factor (GCSF) is a widely used therapeutic protein to treat neutropenia. GCSF has an increased propensity to aggregate if the pH is increased above 5.0. Although GCSF is very well experimentally characterized, the exact pH-dependent aggregation mechanism of GCSF is sti...

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Autores principales: Ko, Suk Kyu, Berner, Carolin, Kulakova, Alina, Schneider, Markus, Antes, Iris, Winter, Gerhard, Harris, Pernille, Peters, Günther H.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956964/
https://www.ncbi.nlm.nih.gov/pubmed/35386098
http://dx.doi.org/10.1016/j.csbj.2022.03.012
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author Ko, Suk Kyu
Berner, Carolin
Kulakova, Alina
Schneider, Markus
Antes, Iris
Winter, Gerhard
Harris, Pernille
Peters, Günther H.J.
author_facet Ko, Suk Kyu
Berner, Carolin
Kulakova, Alina
Schneider, Markus
Antes, Iris
Winter, Gerhard
Harris, Pernille
Peters, Günther H.J.
author_sort Ko, Suk Kyu
collection PubMed
description Granulocyte-colony stimulating factor (GCSF) is a widely used therapeutic protein to treat neutropenia. GCSF has an increased propensity to aggregate if the pH is increased above 5.0. Although GCSF is very well experimentally characterized, the exact pH-dependent aggregation mechanism of GCSF is still under debate. This study aimed to model the complex pH-dependent aggregation behavior of GCSF using state-of-the-art simulation techniques. The conformational stability of GCSF was investigated by performing metadynamics simulations, while the protein-protein interactions were investigated using coarse-grained (CG) simulations of multiple GCSF monomers. The CG simulations were directly compared with small-angle X-ray (SAXS) data. The metadynamics simulations demonstrated that the orientations of Trp residues in GCSF are dependent on pH. The conformational change of Trp residues is due to the loss of Trp-His interactions at the physiological pH, which in turn may increase protein flexibility. The helical structure of GCSF was not affected by the pH conditions of the simulations. Our CG simulations indicate that at pH 4.0, the colloidal stability may be more important than the conformational stability of GCSF. The electrostatic potential surface and CG simulations suggested that the basic residues are mainly responsible for colloidal stability as deprotonation of these residues causes a reduction of the highly positively charged electrostatic barrier close to the aggregation-prone long loop regions.
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spelling pubmed-89569642022-04-05 Investigation of the pH-dependent aggregation mechanisms of GCSF using low resolution protein characterization techniques and advanced molecular dynamics simulations Ko, Suk Kyu Berner, Carolin Kulakova, Alina Schneider, Markus Antes, Iris Winter, Gerhard Harris, Pernille Peters, Günther H.J. Comput Struct Biotechnol J Research Article Granulocyte-colony stimulating factor (GCSF) is a widely used therapeutic protein to treat neutropenia. GCSF has an increased propensity to aggregate if the pH is increased above 5.0. Although GCSF is very well experimentally characterized, the exact pH-dependent aggregation mechanism of GCSF is still under debate. This study aimed to model the complex pH-dependent aggregation behavior of GCSF using state-of-the-art simulation techniques. The conformational stability of GCSF was investigated by performing metadynamics simulations, while the protein-protein interactions were investigated using coarse-grained (CG) simulations of multiple GCSF monomers. The CG simulations were directly compared with small-angle X-ray (SAXS) data. The metadynamics simulations demonstrated that the orientations of Trp residues in GCSF are dependent on pH. The conformational change of Trp residues is due to the loss of Trp-His interactions at the physiological pH, which in turn may increase protein flexibility. The helical structure of GCSF was not affected by the pH conditions of the simulations. Our CG simulations indicate that at pH 4.0, the colloidal stability may be more important than the conformational stability of GCSF. The electrostatic potential surface and CG simulations suggested that the basic residues are mainly responsible for colloidal stability as deprotonation of these residues causes a reduction of the highly positively charged electrostatic barrier close to the aggregation-prone long loop regions. Research Network of Computational and Structural Biotechnology 2022-03-17 /pmc/articles/PMC8956964/ /pubmed/35386098 http://dx.doi.org/10.1016/j.csbj.2022.03.012 Text en © 2022 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. 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 Research Article
Ko, Suk Kyu
Berner, Carolin
Kulakova, Alina
Schneider, Markus
Antes, Iris
Winter, Gerhard
Harris, Pernille
Peters, Günther H.J.
Investigation of the pH-dependent aggregation mechanisms of GCSF using low resolution protein characterization techniques and advanced molecular dynamics simulations
title Investigation of the pH-dependent aggregation mechanisms of GCSF using low resolution protein characterization techniques and advanced molecular dynamics simulations
title_full Investigation of the pH-dependent aggregation mechanisms of GCSF using low resolution protein characterization techniques and advanced molecular dynamics simulations
title_fullStr Investigation of the pH-dependent aggregation mechanisms of GCSF using low resolution protein characterization techniques and advanced molecular dynamics simulations
title_full_unstemmed Investigation of the pH-dependent aggregation mechanisms of GCSF using low resolution protein characterization techniques and advanced molecular dynamics simulations
title_short Investigation of the pH-dependent aggregation mechanisms of GCSF using low resolution protein characterization techniques and advanced molecular dynamics simulations
title_sort investigation of the ph-dependent aggregation mechanisms of gcsf using low resolution protein characterization techniques and advanced molecular dynamics simulations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956964/
https://www.ncbi.nlm.nih.gov/pubmed/35386098
http://dx.doi.org/10.1016/j.csbj.2022.03.012
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