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Statistical Evaluation of HTS Assays for Enzymatic Hydrolysis of β-Keto Esters.

Buß, O. and Jager, S. and Dold, S.-M. and Zimmermann, S. and Hamacher, Kay and Schmitz, K. and Rudat, J. :
Statistical Evaluation of HTS Assays for Enzymatic Hydrolysis of β-Keto Esters.
In: PloS one, 11 (1) e0146104. ISSN 1932-6203
[Article] , (2016)

Abstract

β-keto esters are used as precursors for the synthesis of β-amino acids, which are building blocks for some classes of pharmaceuticals. Here we describe the comparison of screening procedures for hydrolases to be used for the hydrolysis of β-keto esters, the first step in the preparation of β-amino acids. Two of the tested high throughput screening (HTS) assays depend on coupled enzymatic reactions which detect the alcohol released during ester hydrolysis by luminescence or absorption. The third assay detects the pH shift due to acid formation using an indicator dye. To choose the most efficient approach for screening, we assessed these assays with different statistical methods-namely, the classical Z'-factor, standardized mean difference (SSMD), the Kolmogorov-Smirnov-test, and t-statistics. This revealed that all three assays are suitable for HTS, the pH assay performing best. Based on our data we discuss the explanatory power of different statistical measures. Finally, we successfully employed the pH assay to identify a very fast hydrolase in an enzyme-substrate screening.

Item Type: Article
Erschienen: 2016
Creators: Buß, O. and Jager, S. and Dold, S.-M. and Zimmermann, S. and Hamacher, Kay and Schmitz, K. and Rudat, J.
Title: Statistical Evaluation of HTS Assays for Enzymatic Hydrolysis of β-Keto Esters.
Language: English
Abstract:

β-keto esters are used as precursors for the synthesis of β-amino acids, which are building blocks for some classes of pharmaceuticals. Here we describe the comparison of screening procedures for hydrolases to be used for the hydrolysis of β-keto esters, the first step in the preparation of β-amino acids. Two of the tested high throughput screening (HTS) assays depend on coupled enzymatic reactions which detect the alcohol released during ester hydrolysis by luminescence or absorption. The third assay detects the pH shift due to acid formation using an indicator dye. To choose the most efficient approach for screening, we assessed these assays with different statistical methods-namely, the classical Z'-factor, standardized mean difference (SSMD), the Kolmogorov-Smirnov-test, and t-statistics. This revealed that all three assays are suitable for HTS, the pH assay performing best. Based on our data we discuss the explanatory power of different statistical measures. Finally, we successfully employed the pH assay to identify a very fast hydrolase in an enzyme-substrate screening.

Journal or Publication Title: PloS one
Volume: 11
Number: 1
Divisions: 10 Department of Biology
10 Department of Biology > Computational Biology and Simulation
Date Deposited: 13 Jan 2016 07:13
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