Literature DB >> 19275530

Simultaneous determination of LogD, LogP, and pK(a) of drugs by using a reverse phase HPLC coupled with a 96-well plate auto injector.

Po-Chang Chiang1, Yiding Hu.   

Abstract

For years, the physicochemical properties of drug candidates have been used to predict their in vivo pharmacokinetic behaviors. Several theories and empirical correlations have been established by various researchers with the overall goal of expediting the drug candidate selection process, with greater confidence and faster turnaround. This study describes a 96-well reverse phase HPLC method, simultaneously determining LogD, LogP, and pK(a) values of drugs in a throughput mode. The LogD and LogP values of each compound were determined, based on the octanol-aqueous partitioning behavior of the charged and non-charged species under different pH values. The pK(a) value was determined by using the Polynomial fit between LogP and LogD and the equation LogD (pK(a)) approximately LogP-0.301. The advantages of this method are: low sample consumption, suitability for low solubility compounds, less restriction on compound purity, potential for higher throughput, precise data, and multiple determinations in one assay.

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Year:  2009        PMID: 19275530     DOI: 10.2174/138620709787581693

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  2 in total

1.  A novel method for the investigation of liquid/liquid distribution coefficients and interface permeabilities applied to the water-octanol-drug system.

Authors:  Paul C Stein; Massimiliano di Cagno; Annette Bauer-Brandl
Journal:  Pharm Res       Date:  2011-04-14       Impact factor: 4.200

2.  Towards a Quantitative Mechanistic Understanding of Localized Pulmonary Tissue Retention-A Combined In Vivo/In Silico Approach Based on Four Model Drugs.

Authors:  Anneke Himstedt; Clemens Braun; Sebastian Georg Wicha; Jens Markus Borghardt
Journal:  Pharmaceutics       Date:  2020-04-29       Impact factor: 6.321

  2 in total

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