Literature DB >> 16305356

High throughput screening in agrochemical research.

Klaus Tietjen1, Mark Drewes, Klaus Stenzel.   

Abstract

The demand for new herbicides, insecticides and fungicides led to a steady increase in the number of compounds being tested to find novel market products. To keep pace with the rising workload, high throughput screening (HTS) technologies have been introduced. In agrochemical research miniaturised in vivo tests on whole real target organisms are now possible and are an integral part of the screening cascade. A complementary target based in vitro HTS has also been established in agrochemical research. Target based HTS allows a directed approach towards untouched market shares by novel modes of action. Selection of the best suited targets is the most crucial issue in this approach. Genomic methods thereby deliver many essential genes as candidate targets. Consideration of further criteria such as druggability notably narrows down the number of promising targets. Though target to hit to lead progression still is as in pharmaceutical research a complex and therefore risky process, the implementation of novel bioscience technologies has entailed the transition to an integrated innovative agrochemical research perspective.

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Year:  2005        PMID: 16305356     DOI: 10.2174/138620705774575300

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


  7 in total

1.  Herbicides as weed control agents: state of the art: II. Recent achievements.

Authors:  Hansjoerg Kraehmer; Andreas van Almsick; Roland Beffa; Hansjoerg Dietrich; Peter Eckes; Erwin Hacker; Ruediger Hain; Harry John Strek; Hermann Stuebler; Lothar Willms
Journal:  Plant Physiol       Date:  2014-08-07       Impact factor: 8.340

2.  Considerations for Strategic Use of High-Throughput Transcriptomics Chemical Screening Data in Regulatory Decisions.

Authors:  Joshua Harrill; Imran Shah; R Woodrow Setzer; Derik Haggard; Scott Auerbach; Richard Judson; Russell S Thomas
Journal:  Curr Opin Toxicol       Date:  2019

3.  The evolution of new enzyme function: lessons from xenobiotic metabolizing bacteria versus insecticide-resistant insects.

Authors:  Robyn J Russell; Colin Scott; Colin J Jackson; Rinku Pandey; Gunjan Pandey; Matthew C Taylor; Christopher W Coppin; Jian-Wei Liu; John G Oakeshott
Journal:  Evol Appl       Date:  2011-03       Impact factor: 5.183

4.  A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model.

Authors:  Richard Judson; Fathi Elloumi; R Woodrow Setzer; Zhen Li; Imran Shah
Journal:  BMC Bioinformatics       Date:  2008-05-19       Impact factor: 3.169

5.  Beyond plant defense: insights on the potential of salicylic and methylsalicylic acid to contain growth of the phytopathogen Botrytis cinerea.

Authors:  Cindy Dieryckx; Vanessa Gaudin; Jean-William Dupuy; Marc Bonneu; Vincent Girard; Dominique Job
Journal:  Front Plant Sci       Date:  2015-10-16       Impact factor: 5.753

Review 6.  Microbial metal resistance and metabolism across dynamic landscapes: high-throughput environmental microbiology.

Authors:  Hans Carlson; Adam Deutschbauer; John Coates
Journal:  F1000Res       Date:  2017-06-29

7.  Nonlinear Dose-Response Modeling of High-Throughput Screening Data Using an Evolutionary Algorithm.

Authors:  Jun Ma; Eric Bair; Alison Motsinger-Reif
Journal:  Dose Response       Date:  2020-05-22       Impact factor: 2.658

  7 in total

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