Literature DB >> 10746016

Determining affinity-selected ligands and estimating binding affinities by online size exclusion chromatography/liquid chromatography-mass spectrometry.

K F Blom1, B S Larsen, C N McEwen.   

Abstract

Size exclusion chromatography (SEC) isolation of affinity-selected ligands combined with reverse phase liquid chromatography-mass spectrometry (LC-MS) is an effective means for identifying members of mixtures which form tightly bound noncovalent complexes with target proteins. A potential liability of the approach is that the SEC isolation is carried out under nonequilibrium conditions favoring protein/ligand complex dissociation. At long SEC isolation times and/or for complexes with fast off-rates the extent of dissociation can jeopardize the ability to detect the affinity-selected components. Additionally, equilibrium binding affinities cannot be exactly determined from the measured distribution of isolated ligands. We present here an online SEC/LC-MS system for determining affinity-selected members of active mixtures which reduces this liability. A kinetic model of the SEC isolation process is developed to determine the practical limits for the application of the method and to extrapolate equilibrium binding affinities from the nonequilibrium data. The utility of online SEC/LC-MS for identifying affinity-selected ligands and for estimating binding affinities is demonstrated for a small molecule mixture of compounds with known binding affinities and for a simple combinatorial mixture.

Mesh:

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Year:  1999        PMID: 10746016     DOI: 10.1021/cc980010k

Source DB:  PubMed          Journal:  J Comb Chem        ISSN: 1520-4766


  7 in total

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Review 4.  Drug discovery from natural products using affinity selection-mass spectrometry.

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6.  Estimation of affinities of ligands in mixtures via magnetic recovery of target-ligand complexes and chromatographic analyses: chemometrics and an experimental model.

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Authors:  Andrew C McShan; Christine A Devlin; Sarah A Overall; Jihye Park; Jugmohit S Toor; Danai Moschidi; David Flores-Solis; Hannah Choi; Sarvind Tripathi; Erik Procko; Nikolaos G Sgourakis
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  7 in total

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