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• W2131773179 endingPage "155" @default.
• W2131773179 startingPage "139" @default.
• W2131773179 abstract "Recent technological advances have made it possible for several new pK(a) assays to be used in drug screening. In this review, a critical overview is provided of current new methodologies for high-throughput screening and prediction of pK(a). Typical applications of using pK(a )constants and charge state for absorption, distribution, metabolism and excretion (ADME) profiling and quantitative structure-activity relationship modelling complements the methodological comparisons and discussions. The experimental methods discussed include high-throughput screening of pK(a) by multiplexed capillary with ultraviolet absorbance detection on a 96-capillary format instrument, capillary electrophoresis and mass spectrometry (CEMS) based on sample pooling, determination of pK(a) by pH gradient high-performance liquid chromatography, and measurement of pK(a) by a mixed-buffer liner pH gradient system. Comparisons of the different experimental assays are made with emphasis on the newly developed CEMS method. The current status and recent progress in computational approaches to pK(a) prediction are also discussed. In particular, the accuracy limits of simple fragment-based approaches as well as quantum mechanical methods are addressed. Examples of pK(a) prediction from in-house drug candidates as well as commercially available drug molecules are shown and an outline is provided for how drug discovery companies can integrate experiments with computational approaches for increased applications for ADME profiling." @default.
• W2131773179 created "2016-06-24" @default.
• W2131773179 creator A5008921942 @default.
• W2131773179 creator A5084268185 @default.
• W2131773179 date "2006-02-01" @default.
• W2131773179 modified "2023-09-26" @default.
• W2131773179 title "High-throughput p<i>K</i>_ascreening and prediction amenable for ADME profiling" @default.
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• W2131773179 doi "https://doi.org/10.1517/17425255.2.1.139" @default.
• W2131773179 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16863474" @default.
• W2131773179 hasPublicationYear "2006" @default.
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