Literature DB >> 2757198

A semiempirical model for the electrophoretic mobilities of peptides in free-solution capillary electrophoresis.

P D Grossman1, J C Colburn, H H Lauer.   

Abstract

In this study an attempt is made to explore the effect of a peptide's size, charge, and hydrophobicity on its electrophoretic mobility (mu) as measured by free-solution capillary electrophoresis with the aim of developing a semiempirical model which incorporates these effects. The effects of peptide size (which is measured by the number of amino acids in the polypeptide chain (n] and charge on mu are independently determined by experiment in a single solvent system and combined to give the relationship (formula; see text) where the constant 5.23 X 10(-4) is postulated to depend on the solvent system used. The form of Eq. [A.1] was confirmed, and the values of the constants 5.23 X 10(-4) and 2.47 X 10(-5) were determined, by measuring the electrophoretic mobilities of 40 peptides varying in size from 3 to 39 amino acids and varying in charge from 0.33 to 14.0. Furthermore, the effect of noncharged neutral amino acids on mobility was investigated and shown to be present, but only as a minor perturbation on the effects of size and charge.

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Year:  1989        PMID: 2757198     DOI: 10.1016/0003-2697(89)90195-4

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  10 in total

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2.  Phosphopeptide elution times in reversed-phase liquid chromatography.

Authors:  Jeongkwon Kim; Konstantinos Petritis; Yufeng Shen; David G Camp; Ronald J Moore; Richard D Smith
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3.  An integral probe for capillary zone electrophoresis/continuous-flow fast atom bombardment mass spectrometry.

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4.  Electrophoretic Mobilities of the Charge Variants of DNA and Other Polyelectrolytes: Similarities, Differences, and Comparison with Theory.

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5.  Modeling the electrophoresis of lysozyme. II. Inclusion of ion relaxation.

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Review 6.  Applications of capillary electrophoresis in pharmaceutical analysis.

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8.  Evaluation of Machine Learning Models for Proteoform Retention and Migration Time Prediction in Top-Down Mass Spectrometry.

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9.  Predicting Electrophoretic Mobility of Proteoforms for Large-Scale Top-Down Proteomics.

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10.  Capillary Zone Electrophoresis-Tandem Mass Spectrometry As an Alternative to Liquid Chromatography-Tandem Mass Spectrometry for Top-down Proteomics of Histones.

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  10 in total

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