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Buffer Influence on the Amino Acid Silica Interaction
Protein‐surface interactions are exploited in various processes in life sciences and biotechnology. Many of such processes are performed in presence of a buffer system, which is generally believed to have an influence on the protein‐surface interaction but is rarely investigated systematically. Comb...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7702087/ https://www.ncbi.nlm.nih.gov/pubmed/32794279 http://dx.doi.org/10.1002/cphc.202000572 |
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author | Bag, Saientan Rauwolf, Stefan Suyetin, Mikhail Schwaminger, Sebastian P. Wenzel, Wolfgang Berensmeier, Sonja |
author_facet | Bag, Saientan Rauwolf, Stefan Suyetin, Mikhail Schwaminger, Sebastian P. Wenzel, Wolfgang Berensmeier, Sonja |
author_sort | Bag, Saientan |
collection | PubMed |
description | Protein‐surface interactions are exploited in various processes in life sciences and biotechnology. Many of such processes are performed in presence of a buffer system, which is generally believed to have an influence on the protein‐surface interaction but is rarely investigated systematically. Combining experimental and theoretical methodologies, we herein demonstrate the strong influence of the buffer type on protein‐surface interactions. Using state of the art chromatographic experiments, we measure the interaction between individual amino acids and silica, as a reference to understand protein‐surface interactions. Among all the 20 proteinogenic amino acids studied, we found that arginine (R) and lysine (K) bind most strongly to silica, a finding validated by free energy calculations. We further measured the binding of R and K at different pH in presence of two different buffers, MOPS (3‐(N‐morpholino)propanesulfonic acid) and TRIS (tris(hydroxymethyl)aminomethane), and find dramatically different behavior. In presence of TRIS, the binding affinity of R/K increases with pH, whereas we observe an opposite trend for MOPS. These results can be understood using a multiscale modelling framework combining molecular dynamics simulation and Langmuir adsorption model. The modelling approach helps to optimize buffer conditions in various fields like biosensors, drug delivery or bio separation engineering prior to the experiment. |
format | Online Article Text |
id | pubmed-7702087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77020872020-12-14 Buffer Influence on the Amino Acid Silica Interaction Bag, Saientan Rauwolf, Stefan Suyetin, Mikhail Schwaminger, Sebastian P. Wenzel, Wolfgang Berensmeier, Sonja Chemphyschem Articles Protein‐surface interactions are exploited in various processes in life sciences and biotechnology. Many of such processes are performed in presence of a buffer system, which is generally believed to have an influence on the protein‐surface interaction but is rarely investigated systematically. Combining experimental and theoretical methodologies, we herein demonstrate the strong influence of the buffer type on protein‐surface interactions. Using state of the art chromatographic experiments, we measure the interaction between individual amino acids and silica, as a reference to understand protein‐surface interactions. Among all the 20 proteinogenic amino acids studied, we found that arginine (R) and lysine (K) bind most strongly to silica, a finding validated by free energy calculations. We further measured the binding of R and K at different pH in presence of two different buffers, MOPS (3‐(N‐morpholino)propanesulfonic acid) and TRIS (tris(hydroxymethyl)aminomethane), and find dramatically different behavior. In presence of TRIS, the binding affinity of R/K increases with pH, whereas we observe an opposite trend for MOPS. These results can be understood using a multiscale modelling framework combining molecular dynamics simulation and Langmuir adsorption model. The modelling approach helps to optimize buffer conditions in various fields like biosensors, drug delivery or bio separation engineering prior to the experiment. John Wiley and Sons Inc. 2020-09-23 2020-10-16 /pmc/articles/PMC7702087/ /pubmed/32794279 http://dx.doi.org/10.1002/cphc.202000572 Text en © 2020 The Authors. Published by Wiley-VCH GmbH This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Bag, Saientan Rauwolf, Stefan Suyetin, Mikhail Schwaminger, Sebastian P. Wenzel, Wolfgang Berensmeier, Sonja Buffer Influence on the Amino Acid Silica Interaction |
title | Buffer Influence on the Amino Acid Silica Interaction |
title_full | Buffer Influence on the Amino Acid Silica Interaction |
title_fullStr | Buffer Influence on the Amino Acid Silica Interaction |
title_full_unstemmed | Buffer Influence on the Amino Acid Silica Interaction |
title_short | Buffer Influence on the Amino Acid Silica Interaction |
title_sort | buffer influence on the amino acid silica interaction |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7702087/ https://www.ncbi.nlm.nih.gov/pubmed/32794279 http://dx.doi.org/10.1002/cphc.202000572 |
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