Literature DB >> 26162668

Defining the property space for chromatographic ligands from a homologous series of mixed-mode ligands.

James A Woo1, Hong Chen2, Mark A Snyder3, Yiming Chai1, Russell G Frost3, Steven M Cramer4.   

Abstract

A homologous ligand library based on the commercially-available Nuvia cPrime ligand was generated to systematically explore various features of a multimodal cation-exchange ligand and to identify structural variants that had significantly altered chromatographic selectivity. Substitution of the polar amide bond with more hydrophobic chemistries was found to enhance retention while remaining hydrophobically-selective for aromatic residues. In contrast, increasing the solvent exposure of the aromatic ring was observed to strengthen the ligand affinity for both types of hydrophobic residues. An optimal linker length between the charged and hydrophobic moieties was also observed to enhance retention, balancing the steric accessibility of the hydrophobic moiety with its ability to interact independently of the charged group. The weak pKa of the carboxylate charge group was found to have a notable impact on protein retention on Nuvia cPrime at lower pH, increasing hydrophobic interactions with the protein. Substituting the charged group with a sulfonic acid allowed this strong MM ligand to retain its electrostatic-dominant character in this lower pH range. pH gradient experiments were also carried out to further elucidate this pH dependent behavior. A single QSAR model was generated using this accumulated experimental data to predict protein retention across a range of multimodal and ion exchange systems. This model could correctly predict the retention of proteins on resins that were not included in the original model and could prove quite powerful as an in silico approach toward designing more effective and differentiated multimodal ligands.
Copyright © 2015. Published by Elsevier B.V.

Entities:  

Keywords:  Hydrophobic interaction; Multimodal chromatography; Protein surface properties; Quantitative structure–activity relationship; pH gradients

Mesh:

Substances:

Year:  2015        PMID: 26162668     DOI: 10.1016/j.chroma.2015.06.017

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


  2 in total

1.  Development of QSAR models for in silico screening of antibody solubility.

Authors:  Xuan Han; James Shih; Yuhao Lin; Qing Chai; Steven M Cramer
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 6.440

2.  Mixed-mode resins: taking shortcut in downstream processing of raw-starch digesting α-amylases.

Authors:  Nikola Lončar; Marinela Šokarda Slavić; Zoran Vujčić; Nataša Božić
Journal:  Sci Rep       Date:  2015-10-23       Impact factor: 4.379

  2 in total

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