Literature DB >> 12458946

Mathematical correlations for predicting protein retention times in hydrophobic interaction chromatography.

M Elena Lienqueo1, Andrea Mahn, Juan A Asenjo.   

Abstract

This paper reports how a novel method for determining the surface hydrophobicity of a protein can be used to predict the dimensionless retention time (DRT) in hydrophobic interaction chromatography. The methodology has three steps. First, it is necessary to know the three-dimensional structure of the target protein. Then, it is necessary to calculate the surface hydrophobicity of the protein, considering that each amino acid has a relative contribution to the surface properties, using an appropriate equation. This will depend largely on the relative scale used to evaluate the hydrophobicity of each amino acid. Forty-two scales were investigated and two gave the best correlation, the Miyazawa-Jernigan and the Cowan-Whittaker scales. Finally, a "quadratic model" (DRT = a + b phi(surface) + c phi2(surface)) is used to predict the retention time of the target protein. The methodology was able to correlate adequately the retention data for monomeric proteins not included in the generation of the model.

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Year:  2002        PMID: 12458946     DOI: 10.1016/s0021-9673(02)01358-4

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  4 in total

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Journal:  PLoS One       Date:  2010-06-17       Impact factor: 3.240

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Authors:  Lushanti De Zoysa Ariyananda; Peychii Lee; Christina Antonopoulos; Roberta F Colman
Journal:  Biochemistry       Date:  2009-06-16       Impact factor: 3.162

3.  Comparison of hydrophobicity scales for predicting biophysical properties of antibodies.

Authors:  Franz Waibl; Monica L Fernández-Quintero; Florian S Wedl; Hubert Kettenberger; Guy Georges; Klaus R Liedl
Journal:  Front Mol Biosci       Date:  2022-08-31

4.  A Multichannel Pattern-Recognition-Based Protein Sensor with a Fluorophore-Conjugated Single-Stranded DNA Set.

Authors:  Mari Okada; Hiroka Sugai; Shunsuke Tomita; Ryoji Kurita
Journal:  Sensors (Basel)       Date:  2020-09-08       Impact factor: 3.576

  4 in total

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