Recent development in software and automation tools for high-throughput discovery bioanalysis. (May 2012)

• Record Type: Journal Article
• Authors: Shou, Wilson Z; Zhang, Jun
• Is Part Of: Bioanalysis. Volume 4:Number 9(2012)
• Page Start: 1097
• Page End: 1109
• Publication Date: 2012-05
• Subjects: Drugs -- Analysis -- Periodicals; 615.19005
• DOI: 10.4155/bio.12.51
• Languages: English
• ISSNs: 1757-6180

Abstract

Bioanalysis with LC–MS/MS has been established as the method of choice for quantitative determination of drug candidates in biological matrices in drug discovery and development. The LC–MS/MS bioanalytical support for drug discovery, especially for early discovery, often requires high-throughput (HT) analysis of large numbers of samples (hundreds to thousands per day) generated from many structurally diverse compounds (tens to hundreds per day) with a very quick turnaround time, in order to provide important activity and liability data to move discovery projects forward. Another important consideration for discovery bioanalysis is its fit-for-purpose quality requirement depending on the particular experiments being conducted at this stage, and it is usually not as stringent as those required in bioanalysis supporting drug development. These aforementioned attributes of HT discovery bioanalysis made it an ideal candidate for using software and automation tools to eliminate manual steps, remove bottlenecks, improve efficiency and reduce turnaround time while maintaining adequate quality. In this article we will review various recent developments that facilitate automation of individual bioanalytical procedures, such as sample preparation, MS/MS method development, sample analysis and data review, as well as fully integrated software tools that manage the entire bioanalytical workflow in HT discovery bioanalysis. In addition, software tools supporting the emerging high-resolution accurate MS bioanalytical approach are also discussed.