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Optimization of Electrospray Ionization by Statistical Design of Experiments and Response Surface Methodology: Protein–Ligand Equilibrium Dissociation Constant Determinations

Electrospray ionization mass spectrometry (ESI-MS) binding studies between proteins and ligands under native conditions require that instrumental ESI source conditions are optimized if relative solution-phase equilibrium concentrations between the protein–ligand complex and free protein are to be re...

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Autores principales: Pedro, Liliana, Van Voorhis, Wesley C., Quinn, Ronald J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4972871/
https://www.ncbi.nlm.nih.gov/pubmed/27225419
http://dx.doi.org/10.1007/s13361-016-1417-x
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author Pedro, Liliana
Van Voorhis, Wesley C.
Quinn, Ronald J.
author_facet Pedro, Liliana
Van Voorhis, Wesley C.
Quinn, Ronald J.
author_sort Pedro, Liliana
collection PubMed
description Electrospray ionization mass spectrometry (ESI-MS) binding studies between proteins and ligands under native conditions require that instrumental ESI source conditions are optimized if relative solution-phase equilibrium concentrations between the protein–ligand complex and free protein are to be retained. Instrumental ESI source conditions that simultaneously maximize the relative ionization efficiency of the protein–ligand complex over free protein and minimize the protein–ligand complex dissociation during the ESI process and the transfer from atmospheric pressure to vacuum are generally specific for each protein–ligand system and should be established when an accurate equilibrium dissociation constant (K(D)) is to be determined via titration. In this paper, a straightforward and systematic approach for ESI source optimization is presented. The method uses statistical design of experiments (DOE) in conjunction with response surface methodology (RSM) and is demonstrated for the complexes between Plasmodium vivax guanylate kinase (PvGK) and two ligands: 5′-guanosine monophosphate (GMP) and 5′-guanosine diphosphate (GDP). It was verified that even though the ligands are structurally similar, the most appropriate ESI conditions for K(D) determination by titration are different for each. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13361-016-1417-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-49728712016-08-17 Optimization of Electrospray Ionization by Statistical Design of Experiments and Response Surface Methodology: Protein–Ligand Equilibrium Dissociation Constant Determinations Pedro, Liliana Van Voorhis, Wesley C. Quinn, Ronald J. J Am Soc Mass Spectrom Research Article Electrospray ionization mass spectrometry (ESI-MS) binding studies between proteins and ligands under native conditions require that instrumental ESI source conditions are optimized if relative solution-phase equilibrium concentrations between the protein–ligand complex and free protein are to be retained. Instrumental ESI source conditions that simultaneously maximize the relative ionization efficiency of the protein–ligand complex over free protein and minimize the protein–ligand complex dissociation during the ESI process and the transfer from atmospheric pressure to vacuum are generally specific for each protein–ligand system and should be established when an accurate equilibrium dissociation constant (K(D)) is to be determined via titration. In this paper, a straightforward and systematic approach for ESI source optimization is presented. The method uses statistical design of experiments (DOE) in conjunction with response surface methodology (RSM) and is demonstrated for the complexes between Plasmodium vivax guanylate kinase (PvGK) and two ligands: 5′-guanosine monophosphate (GMP) and 5′-guanosine diphosphate (GDP). It was verified that even though the ligands are structurally similar, the most appropriate ESI conditions for K(D) determination by titration are different for each. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13361-016-1417-x) contains supplementary material, which is available to authorized users. Springer US 2016-05-25 2016 /pmc/articles/PMC4972871/ /pubmed/27225419 http://dx.doi.org/10.1007/s13361-016-1417-x Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Article
Pedro, Liliana
Van Voorhis, Wesley C.
Quinn, Ronald J.
Optimization of Electrospray Ionization by Statistical Design of Experiments and Response Surface Methodology: Protein–Ligand Equilibrium Dissociation Constant Determinations
title Optimization of Electrospray Ionization by Statistical Design of Experiments and Response Surface Methodology: Protein–Ligand Equilibrium Dissociation Constant Determinations
title_full Optimization of Electrospray Ionization by Statistical Design of Experiments and Response Surface Methodology: Protein–Ligand Equilibrium Dissociation Constant Determinations
title_fullStr Optimization of Electrospray Ionization by Statistical Design of Experiments and Response Surface Methodology: Protein–Ligand Equilibrium Dissociation Constant Determinations
title_full_unstemmed Optimization of Electrospray Ionization by Statistical Design of Experiments and Response Surface Methodology: Protein–Ligand Equilibrium Dissociation Constant Determinations
title_short Optimization of Electrospray Ionization by Statistical Design of Experiments and Response Surface Methodology: Protein–Ligand Equilibrium Dissociation Constant Determinations
title_sort optimization of electrospray ionization by statistical design of experiments and response surface methodology: protein–ligand equilibrium dissociation constant determinations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4972871/
https://www.ncbi.nlm.nih.gov/pubmed/27225419
http://dx.doi.org/10.1007/s13361-016-1417-x
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