High Throughput, Mechanism-Based Screening Techniques for Discovering Novel Agrochemicals

Author:

Walsh James C.1

Affiliation:

1. Agricultural Products Research Division, Molecular Genetic Screen Design, American Cyanamid Company, Princeton, NJ, 08543-0400

Abstract

A variety of screening strategies can be employed for discovering novel agrochemicals such as fungicides, insecticides, herbicides and antiparasitics. Traditionally, random evaluation of chemical and natural products samples has been used in assay systems ranging from greenhouse testing down to in vitro microplate screening. This task can be formidable depending on the size of sample libraries and personnel resources available. One important tool in the overall discovery process is the application of highly specific and sensitive mechanism-based assays for the purpose of identifying novel leads. This article describes high throughput, agar-based screening techniques successfully implemented in a decentralized screening environment where laboratory space and staffing are limited. Through the prudent use of automated and manual high-density agar-based techniques, multiple sources of samples can now be processed and evaluated against multiple targets in a timely fashion. Assay validation can be streamlined. The advantages and disadvantages of an agar-based screening approach are discussed.

Publisher

Elsevier BV

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatisierung in den Lebenswissenschaften – eine kritische Betrachtung;Automationslösungen in der analytischen Messtechnik;2019-11-13

2. Automation in Life Sciences - A Critical Review;Automation Solutions for Analytical Measurements;2017-09-01

3. Application of a Dual-Arm Robot in Complex Sample Preparation and Measurement Processes;Journal of Laboratory Automation;2016-10

4. Combinatorial Chemistry as Applied to the Discovery of Agrochemicals;Encyclopedia of Agrochemicals;2003-04-15

5. Selecting the right compounds for screening: use of surface-area parameters;Pest Management Science;2002

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