Main

Fields of interest:

• Pharmaceutical analysis, pharmacy, pharmacokinetics and pharmacodynamics
• Proteomics, life sciences, biomarkers
• Medicinal chemistry, drug discovery, drug delivery
• Clinical data analysis, bioinformatics, calculation chemistry

Recent publications:

T. Bączek:
Chemometric evaluation of relationships between retention and physicochemical parameters in terms of multidimensional liquid chromatography of peptides,
J. Sep. Sci., Vol. 29, (2006), pp.  547-554.

R. Put, M. Daszykowski, T. Bączek and Y. Vander Heyden:
Retention prediction of peptides based on uninformative variable elimination by partial least squares,
J. Proteome Res., Vol. 5, (2006), pp. 1618-1625.

R. Kaliszan, T. Bączek, A. Cimochowska, P. Juszczyk, K. Wiśniewska and Z. Grzonka:
Prediction of high-performance liquid chromatography retention of peptides with the use of quantitative structure-retention relationships,
Proteomics, Vol. 5, (2005), pp. 409-415.

T. Bączek, P. Wiczling, M. Marszałł, Y. Vander Heyden and R. Kaliszan:
Prediction of peptide retention at different HPLC conditions from multiple linear regression models,
J. Proteome Res., Vol. 4, (2005), pp. 555-563.

T. Bączek:
Fractionation of peptides in proteomics with the use of pI-based approach and ZipTip pipette tips,
J. Pharm. Biomed. Anal., Vol. 34, (2004), pp. 851-860.

T. Bączek:
Fractionation of peptides and identification of proteins from Saccharomyces cerevisiae in proteomics with the use of reversed-phase capillary liquid chromatography and pI-based approach,
J. Pharm. Biomed. Anal., Vol. 35, (2004), pp. 895-904.

T. Bączek, A. Buciński, A.R. Ivanov and R. Kaliszan:
Artificial neural network analysis for evaluation of peptide MS/MS spectra in proteomics,
Anal. Chem., Vol. 76, (2004), pp. 1726-1732.