Kaliszan R - Search Results

1

The molecular descriptor logSumAA and its alternatives in QSRR models to predict the retention of peptides.

Bodzioch K, Baczek T, Kaliszan R, Vander Heyden Y. Bodzioch K, et al. Among authors: kaliszan r. J Pharm Biomed Anal. 2009 Nov 1;50(4):563-9. doi: 10.1016/j.jpba.2008.09.004. Epub 2008 Sep 9. J Pharm Biomed Anal. 2009. PMID: 18929455

2

Evaluation of a generalized use of the log Sum(k+1)AA descriptor in a QSRR model to predict peptide retention on RPLC systems.

Bodzioch K, Dejaegher B, Baczek T, Kaliszan R, Vander Heyden Y. Bodzioch K, et al. Among authors: kaliszan r. J Sep Sci. 2009 Jun;32(12):2075-83. doi: 10.1002/jssc.200900030. J Sep Sci. 2009. PMID: 19479750

3

Advanced QSRR modeling of peptides behavior in RPLC.

Bodzioch K, Durand A, Kaliszan R, Baczek T, Vander Heyden Y. Bodzioch K, et al. Among authors: kaliszan r. Talanta. 2010 Jun 15;81(4-5):1711-8. doi: 10.1016/j.talanta.2010.03.028. Epub 2010 Mar 25. Talanta. 2010. PMID: 20441962

4

Combination of linear solvent strength model and quantitative structure-retention relationships as a comprehensive procedure of approximate prediction of retention in gradient liquid chromatography.

Baczek T, Kaliszan R. Baczek T, et al. Among authors: kaliszan r. J Chromatogr A. 2002 Jul 12;962(1-2):41-55. doi: 10.1016/s0021-9673(02)00557-5. J Chromatogr A. 2002. PMID: 12198971

5

Predictive approaches to gradient retention based on analyte structural descriptors from calculation chemistry.

Baczek T, Kaliszan R. Baczek T, et al. Among authors: kaliszan r. J Chromatogr A. 2003 Feb 14;987(1-2):29-37. doi: 10.1016/s0021-9673(02)01701-6. J Chromatogr A. 2003. PMID: 12613794

6

Comparative characteristics of HPLC columns based on quantitative structure-retention relationships (QSRR) and hydrophobic-subtraction model.

Baczek T, Kaliszan R, Novotná K, Jandera P. Baczek T, et al. Among authors: kaliszan r. J Chromatogr A. 2005 May 20;1075(1-2):109-15. doi: 10.1016/j.chroma.2005.03.117. J Chromatogr A. 2005. PMID: 15974124

7

Comparative evaluation of high-performance liquid chromatography stationary phases used for the separation of peptides in terms of quantitative structure-retention relationships.

Michel M, Baczek T, Studzińska S, Bodzioch K, Jonsson T, Kaliszan R, Buszewski B. Michel M, et al. Among authors: kaliszan r. J Chromatogr A. 2007 Dec 14;1175(1):49-54. doi: 10.1016/j.chroma.2007.10.002. Epub 2007 Oct 10. J Chromatogr A. 2007. PMID: 17980378

8

Predictions of peptides' retention times in reversed-phase liquid chromatography as a new supportive tool to improve protein identification in proteomics.

Baczek T, Kaliszan R. Baczek T, et al. Among authors: kaliszan r. Proteomics. 2009 Feb;9(4):835-47. doi: 10.1002/pmic.200800544. Proteomics. 2009. PMID: 19160394 Review.

9

Correctness of protein identifications of Bacillus subtilis proteome with the indication on potential false positive peptides supported by predictions of their retention times.

Macur K, Baczek T, Kaliszan R, Temporini C, Corana F, Massolini G, Grzenkowicz-Wydra J, Obuchowski M. Macur K, et al. Among authors: kaliszan r. J Biomed Biotechnol. 2010;2010:718142. doi: 10.1155/2010/718142. Epub 2009 Dec 23. J Biomed Biotechnol. 2010. PMID: 20069061 Free PMC article.

10

Prediction of high-performance liquid chromatography retention of peptides with the use of quantitative structure-retention relationships.

Kaliszan R, Baczek T, Cimochowska A, Juszczyk P, Wiśniewska K, Grzonka Z. Kaliszan R, et al. Proteomics. 2005 Feb;5(2):409-15. doi: 10.1002/pmic.200400973. Proteomics. 2005. PMID: 15627956

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