Literature DB >> 9652112

Calculation of peptide retention coefficients in normal-phase liquid chromatography.

T Yoshida1.   

Abstract

The retention of 121 peptides was studied on a TSK Amide-80 column using solutions containing 0.1% trifluoroacetic acid and an increasing linear gradient of water in acetonitrile. The contribution of each residue to retention was calculated by linear multiple regression analysis. This paper described the contribution values 'hydrophilicity retention coefficients'. The result is an index of hydrophilicity retention coefficients for normal-phase liquid chromatography, analogous to the hydrophobicity indices calculated for the reversed-phase liquid chromatography. The order of residues in the index of one mode was substantially the inverse of the others'. Using the new hydrophilicity retention coefficients, retention times could be predicted for peptides of known amino acid content and sequence.

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Year:  1998        PMID: 9652112     DOI: 10.1016/s0021-9673(98)00092-2

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


  5 in total

1.  Characterizing hydrophobicity of amino acid side chains in a protein environment via measuring contact angle of a water nanodroplet on planar peptide network.

Authors:  Chongqin Zhu; Yurui Gao; Hui Li; Sheng Meng; Lei Li; Joseph S Francisco; Xiao Cheng Zeng
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-01       Impact factor: 11.205

2.  An improved approach to hydrophilic interaction chromatography of peptides: salt gradients in the presence of high isocratic acetonitrile concentrations.

Authors:  Colin T Mant; Ziqing Jiang; Barry E Boyes; Robert S Hodges
Journal:  J Chromatogr A       Date:  2013-01-01       Impact factor: 4.759

3.  Peptide retention prediction using hydrophilic interaction liquid chromatography coupled to mass spectrometry.

Authors:  Majors J Badgett; Barry Boyes; Ron Orlando
Journal:  J Chromatogr A       Date:  2018-01-11       Impact factor: 4.759

4.  Quantitative Proteomic Analysis of Differentially Expressed Protein Profiles Involved in Pancreatic Ductal Adenocarcinoma.

Authors:  Kung-Kai Kuo; Chao-Jen Kuo; Chiang-Yen Chiu; Shih-Shin Liang; Chun-Hao Huang; Shu-Wen Chi; Kun-Bow Tsai; Chiao-Yun Chen; Edward Hsi; Kuang-Hung Cheng; Shyh-Horng Chiou
Journal:  Pancreas       Date:  2016-01       Impact factor: 3.327

5.  Onco-proteogenomics identifies urinary S100A9 and GRN as potential combinatorial biomarkers for early diagnosis of hepatocellular carcinoma.

Authors:  Chun-Hao Huang; Chao-Jen Kuo; Shih-Shin Liang; Shu-Wen Chi; Edward Hsi; Chi-Chao Chen; King-Teh Lee; Shyh-Horng Chiou
Journal:  BBA Clin       Date:  2015-03-03
  5 in total

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