Literature DB >> 19275537

High throughput screening of physicochemical properties and in vitro ADME profiling in drug discovery.

Hong Wan1, Anders G Holmén.   

Abstract

Current advances of new technologies with robotic automated assays combined with highly selective and sensitive LC-MS enable high-speed screening of lead series libraries in many in vitro assays. In this review, we summarize state of the art high throughput assays for screening of key physicochemical properties such as solubility, lipophilicity, pKa, drug-plasma protein binding and brain tissue binding as well as in vitro ADME profiling. We discuss two primary approaches for high throughput screening of solubility, i.e. an automated 96-well plate assay integrated with LC-MS and a rapid multi-wavelength UV plate reader. We address the advantages of newly developed miniaturized techniques for high throughput pKa screening by capillary electrophoresis combined with mass spectrometry (CE-MS) with automated data analysis flow. Several new lipophilicity approaches other than octanol-water partitioning are critically reviewed, including rapid liquid chromatographic retention based approach, immobilized artificial membrane (IAM) partitioning and liposome, and potential microemulsion electrokinetic chromatography (MEEKC) for accurate screening of LogP. We highlight the sample pooling (namely cassette dosing, all-in-one, cocktail) as an efficient approach for high throughput screening of physicochemical properties and in vitro ADME profiling with emphasis on the benefit of on-line quality control. This cassette dosing approach has been widely adapted in drug discovery for rapid screening of in vivo pharmacokinetic parameters with significantly increased capacity and dramatically reduced animal usage.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19275537     DOI: 10.2174/138620709787581701

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


  7 in total

1.  Interpreting physicochemical experimental data sets.

Authors:  Nicola Colclough; Mark C Wenlock
Journal:  J Comput Aided Mol Des       Date:  2015-06-09       Impact factor: 3.686

2.  Time dependent analysis of assay comparability: a novel approach to understand intra- and inter-site variability over time.

Authors:  Susanne Winiwarter; Brian Middleton; Barry Jones; Paul Courtney; Bo Lindmark; Ken M Page; Alan Clark; Claire Landqvist
Journal:  J Comput Aided Mol Des       Date:  2015-02-20       Impact factor: 3.686

3.  A novel strategy for the targeted analysis of protein and peptide metabolites.

Authors:  Nicholas A Williamson; Charles Reilly; Chor-Teck Tan; Sri-Harsha Ramarathinam; Alun Jones; Christie L Hunter; Francis R Rooney; Anthony W Purcell
Journal:  Proteomics       Date:  2010-12-15       Impact factor: 3.984

Review 4.  Physiologically based pharmacokinetic models: integration of in silico approaches with micro cell culture analogues.

Authors:  A Chen; M L Yarmush; T Maguire
Journal:  Curr Drug Metab       Date:  2012-07       Impact factor: 3.731

5.  Lipid Nanosystems and Serum Protein as Biomimetic Interfaces: Predicting the Biodistribution of a Caffeic Acid-Based Antioxidant.

Authors:  Eduarda Fernandes; Sofia Benfeito; Fernando Cagide; Hugo Gonçalves; Sigrid Bernstorff; Jana B Nieder; M Elisabete Cd Real Oliveira; Fernanda Borges; Marlene Lúcio
Journal:  Nanotechnol Sci Appl       Date:  2021-02-09

Review 6.  Current status and future directions of high-throughput ADME screening in drug discovery.

Authors:  Wilson Z Shou
Journal:  J Pharm Anal       Date:  2020-05-23

7.  cΔlog kw IAM: can we afford estimation of small molecules' blood-brain barrier passage based upon in silico phospholipophilicity?

Authors:  Lucia Grumetto; Giacomo Russo
Journal:  ADMET DMPK       Date:  2021-12-15
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.