Predictions of Peptide Retention in HPLC with the use of Amino Acid Retention Data Obtained in a TLC System

References

• Hunter , T. C. , Andon , N. L. , Koller , A. , Yates , J. R. III and Haynes , P. A. 2002 . The functional proteomics toolbox: methods and applications . J. Chromatogr. B , 782 : 165 – 181 .
   PubMed Web of Science ®Google Scholar
• Sherma , J. and Fried , B. 1996 . Handbook of Thin–Layer Chromatography New York : Marcel Dekker, Inc .
   Google Scholar
• Casal , V. , Martin‐Alvarez , P. J. and Herraiz , T. 1996 . Comparative prediction of retention behavior of small peptides in several reversed‐phase high‐performance liquid chromatography columns by using partial least squares and multiple linear regression . Anal. Chim. Acta. , 626 : 77 – 84 .
   Google Scholar
• Meek , J. L. 1980 . Prediction of peptide retention times in high‐pressure liquid chromatography on the basis of amino acid composition . Proc. Natl. Acad. Sci. , 77 : 1632 – 1636 .
   PubMed Web of Science ®Google Scholar
• Browne , C. A. , Bennett , H. P.J. and Salomon , S. 1982 . The isolation of peptides by high‐performance liquid chromatography using predicted elution positions . Anal. Biochem. , 124 : 201 – 208 .
   PubMed Web of Science ®Google Scholar
• Guo , D. , Mant , C. T. , Taneja , A. K. , Parker , J. M.R. and Hodges , R. S. 1986 . Prediction of peptide retention times in reversed‐phase high‐performance liquid chromatography . J. Chromatogr. , 359 : 499 – 532 .
   Web of Science ®Google Scholar
• Mant , C. T. , Zhou , N. E. and Hodges , R. S. 1989 . Correlation of protein retention times in reversed‐phase chromatography with polypeptide chain length and hydrophobicity . J. Chromatogr. , 476 : 363 – 37 .
   PubMed Web of Science ®Google Scholar
• Wang , Y. , Gu , X. , Zhang , J. and Zhang , X. 2005 . Predict of peptide retention in RP‐LC . Chromatographia , 62 : 385 – 392 .
   Google Scholar
• Kaliszan , R. 1997 . Structure and Retention in Chromatography: A Chemometric Approach Amsterdam : Harwood Academic Publishers .
   Google Scholar
• Kaliszan , R. , Bączek , T. , Buciński , A. , Buszewski , B. and Sztupecka , M. 2003 . Prediction of gradient retention from the linear solvent strength (LSS) model, quantitative structure‐retention relationship (QSRR), and artificial neural networks (ANN) . J. Sep. Sci. , 26 : 271 – 282 .
   Web of Science ®Google Scholar
• Kaliszan , R. 1992 . Quantitative structure‐retention relationships . Anal. Chem. , 64 : 619A – 631A .
   Web of Science ®Google Scholar
• Bączek , T. and Kaliszan , R. 2002 . Combination of linear solvent strength model and quantitative structure‐retention relationships as a comprehensive procedure of approximate prediction of retention in gradient liquid chromatography . J. Chromatogr. A , 962 : 41 – 55 .
   PubMed Web of Science ®Google Scholar
• Bączek , T. 2006 . Chemometric evaluation of relationships between retention and physicochemical parameters in term of multidimensional liquid chromatography of peptides . J. Sep. Sci. , 29 : 547 – 554 .
   PubMedGoogle Scholar
• Kaliszan , R. , Bączek , T. , Cimochowska , A. , Juszczyk , P. , Wiśniewska , K. and Grzonka , Z. 2005 . Prediction of high‐performance liquid chromatography retention of peptides with the use of quantitative structure‐retention relationships . Proteomics , I : 409 – 415 .
   Google Scholar
• Bączek , T. , Wiczling , P. , Marszałł , M. P. , Vander Heyden , Y. and Kaliszan , R. 2005 . Prediction of peptides retention at different HPLC conditions from multiple linear regression models . J. Proteome Res. , 4 : 555 – 563 .
   PubMedGoogle Scholar
• Kaliszan , R. 1987 . Quantitative Structure‐Retention Relationship New York : Wiley .
   Google Scholar
• Bączek , T. and Sparzak , B. 2006 . Ionic liquids as novel solvent additives to separate peptides . Z. Naturforsch , 61c : 827 – 832 .
   Google Scholar
• Put , R. , Daszykowski , M. , Bączek , T. and Vander Heyden , Y. 2006 . Retention prediction of peptides based on uninformative variable elimination by partial least squares . J. Proteome Res. , 5 : 1618 – 1625 .
   PubMedGoogle Scholar