By a News Reporter-Staff News Editor at Life Science Weekly -- Fresh data on Immunology are presented in a new report. According to news reporting originating from Zurich, Switzerland, by NewsRx correspondents, research stated, "In order to support a model-based process design in ion-exchange chromatography, an adsorption equilibrium model was adapted to predict the protein retention behavior from the amino acid sequence and from structural information on the resin. It is based on the computation of protein-resin interactions with a colloidal model and accounts for the contribution of each ionizable amino acid to the protein charge."
Our news editors obtained a quote from the research from Institute for Chemical and Bioengineering, "As a verification of the protein charge model, the experimental titration curve of a monoclonal antibody was compared to its predicted net charge. Using this protein charge model in the computation of the protein-resin interactions, it is possible to predict the adsorption equilibrium constant (i.e. retention factor or Henry constant) with an explicit pH and salt dependence. The application of the model-based predictions for an in silico screening of the protein retention on various stationary phases or, alternatively, for the comparison of various monoclonal antibodies on a given cation-exchanger was demonstrated. Furthermore, considering the structural differences between charge variants of a monoclonal antibody, it was possible to predict their individual retention times. The selectivity between the side variants and the main isoform of the monoclonal antibody were computed. The comparison with the experimental data showed that the model was reliable with respect to the identification of the operating conditions maximizing the selectivity, i.e. the most promising conditions for a monoclonal antibody variant separation."
According to the news editors, the research concluded: "Such predictions can be useful in reducing the experimental effort to identify the parameter space."
For more information on this research see: Model-based prediction of monoclonal antibody retention in ion-exchange chromatography. Journal of Chromatography A, 2013;1298():17-25. (Elsevier - www.elsevier.com; Journal of Chromatography A - www.elsevier.com/wps/product/cws_home/502688)
The news editors report that additional information may be obtained by contacting B. Guelat, Dept. of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, ETH Zurich, Wolfgang-Pauli-Strasse 10, 8093 Zurich, Switzerland. Additional authors for this research include L. Delegrange, P. Valax and M. Morbidelli (see also Immunology).
Keywords for this news article include: Antibodies, Zurich, Europe, Immunology, Switzerland, Blood Proteins, Immunoglobulins.
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