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  2. High-throughput screening of LogD by using a sample pooling approach based on the traditional shake flask method

High-throughput screening of LogD by using a sample pooling approach based on the traditional shake flask method

  • J Chromatogr B Analyt Technol Biomed Life Sci. 2023 Jul 1:1227:123804. doi: 10.1016/j.jchromb.2023.123804.
Yongfen Ma 1 Xiaowei Chen 2 Huma Javeria 1 Zhenxia Du 3
Affiliations

Affiliations

  • 1 College of Chemistry, Beijing Key Laboratory of Environmentally Harmful Chemical Analysis, Beijing University of Chemical Technology, Beijing 100029, China.
  • 2 School of Pharmacy, Shenyang Pharmaceutical University, Shenyang 117004, Liaoning, China.
  • 3 College of Chemistry, Beijing Key Laboratory of Environmentally Harmful Chemical Analysis, Beijing University of Chemical Technology, Beijing 100029, China. Electronic address: [email protected].
Abstract

A new approach for screening LogD is presented. The method is based on the shake flask method combined with rapid generic LC-MS/MS bioanalysis by using a sample pooling approach that enables high-throughput screening of LogD or LogP in the drug discovery stage. The method is evaluated by a comparison of measured LogD between single and pooled compounds for a test set of structurally diverse compounds with a wide range of LogD values (from -0.04 to 6.01). Test compounds include 10 commercially available drug standards along with 27 new chemical entities. A good correlation (RMSE = 0.21, R2 = 0.9879) of LogD between the single and pooled compounds was obtained, suggesting that at least 37 compounds can be simultaneously measured with acceptable accuracy. The sample pooling method significantly reduced the number of bioanalysis samples as compared to the single compound measurement by the conventional shake flask method. The impact of DMSO content on LogD measurement was also investigated and the result demonstrated that at least 0.5% DMSO was tolerated in this method. The current new development will facilitate the drug discovery process by more rapidly assessing the LogD or LogP of drug candidates.

Keywords

High-throughput; LC-MS/MS; Lipophilicity; LogD; Sample pooling approach.

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