Literature DB >> 19110108

Biopartitioning micellar chromatography to predict blood to lung, blood to liver, blood to fat and blood to skin partition coefficients of drugs.

Y Martín-Biosca1, S Torres-Cartas, R M Villanueva-Camañas, S Sagrado, M J Medina-Hernández.   

Abstract

Biopartitioning micellar chromatography (BMC), a mode of micellar liquid chromatography that uses micellar mobile phases of Brij35 in adequate experimental conditions, has demonstrated to be useful in mimicking the drug partitioning process into biological systems. In this paper, the usefulness of BMC for predicting the partition coefficients from blood to lung, blood to liver, blood to fat and blood to skin is demonstrated. PLS2 and multiple linear regression (MLR) models based on BMC retention data are proposed and compared with other ones reported in bibliography. The proposed models present better or similar descriptive and predictive capability.

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Year:  2008        PMID: 19110108     DOI: 10.1016/j.aca.2008.11.004

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  2 in total

1.  QSPR models for predicting log P(liver) values for volatile organic compounds combining statistical methods and domain knowledge.

Authors:  Damián Palomba; María J Martínez; Ignacio Ponzoni; Mónica F Díaz; Gustavo E Vazquez; Axel J Soto
Journal:  Molecules       Date:  2012-12-17       Impact factor: 4.411

2.  Biomimetic Chromatographic Studies Combined with the Computational Approach to Investigate the Ability of Triterpenoid Saponins of Plant Origin to Cross the Blood-Brain Barrier.

Authors:  Katarzyna Stępnik
Journal:  Int J Mol Sci       Date:  2021-03-30       Impact factor: 5.923

  2 in total

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