• Publications
  • Influence
Metabolomics for laboratory diagnostics.
Metabolomics is an emerging approach in a systems biology field. Due to continuous development in advanced analytical techniques and in bioinformatics, metabolomics has been extensively applied as aExpand
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Suppression of deleterious effects of free silanols in liquid chromatography by imidazolium tetrafluoroborate ionic liquids.
Silica-based stationary phases are commonly used in liquid chromatography, but their surface acidity causes known problems, especially when separating basic compounds. Deleterious effects of freeExpand
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Chromatographic retention parameters in medicinal chemistry and molecular pharmacology.
The importance of lipophilicity for pharmacological and toxicological potency of xenobiotics has been recognized for a century. The reference lipophilicity scale is defined by the logarithm ofExpand
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Chromatography and capillary electrophoresis in modelling the basic processes of drug action
Abstract Chemometrically processed retention parameters provide information on drug analytes which is of direct relevance for medicinal chemistry and molecular pharmacology. The principles andExpand
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Altered levels of nucleoside metabolite profiles in urogenital tract cancer measured by capillary electrophoresis.
Metabolic profiles of nucleosides studied on the level of urine are closely related to the pathophysiological status of the organism. Posttranscriptional modifications of RNA (mostly tRNA) in cellExpand
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Comparative characteristics of HPLC columns based on quantitative structure-retention relationships (QSRR) and hydrophobic-subtraction model.
The study was aimed at quantitative comparison of retention properties of modern stationary phases for reversed-phase HPLC. Three approaches, the calculated logarithm of octanol/water partitionExpand
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Quantitative structure-retention relationships models for prediction of high performance liquid chromatography retention time of small molecules: endogenous metabolites and banned compounds.
Quantitative structure-retention relationship (QSRR) is a technique capable of improving the identification of analytes by predicting their retention time on a liquid chromatography column (LC)Expand
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Predictive approaches to gradient retention based on analyte structural descriptors from calculation chemistry.
Quantitative structure retention relationships (QSRRs) were applied to predict reversed-phase HPLC gradient retention. The performance of the recently recommended QSRR models was compared. One testedExpand
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QSRR: quantitative structure-(chromatographic) retention relationships.
  • R. Kaliszan
  • Chemistry, Medicine
  • Chemical reviews
  • 2 October 2007
  • 102
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Urine metabolic fingerprinting using LC-MS and GC-MS reveals metabolite changes in prostate cancer: A pilot study.
Prostate cancer (CaP) is a leading cause of cancer deaths in men worldwide. The alarming statistics, the currently applied biomarkers are still not enough specific and selective. In addition,Expand
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