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基于神经网络的定量构效关系与杀虫剂发现:多杀霉素

Neural network-based QSAR and insecticide discovery: spinetoram.

作者信息

Sparks Thomas C, Crouse Gary D, Dripps James E, Anzeveno Peter, Martynow Jacek, Deamicis Carl V, Gifford James

机构信息

Dow AgroSciences, Discovery Research, 9330 Zionsville Road, Bldg. 306/G1, Indianapolis, IN, 46268, USA.

出版信息

J Comput Aided Mol Des. 2008 Jun-Jul;22(6-7):393-401. doi: 10.1007/s10822-008-9205-8. Epub 2008 Mar 15.

Abstract

Improvements in the efficacy and spectrum of the spinosyns, novel fermentation derived insecticide, has long been a goal within Dow AgroSciences. As large and complex fermentation products identifying specific modifications to the spinosyns likely to result in improved activity was a difficult process, since most modifications decreased the activity. A variety of approaches were investigated to identify new synthetic directions for the spinosyn chemistry including several explorations of the quantitative structure activity relationships (QSAR) of spinosyns, which initially were unsuccessful. However, application of artificial neural networks (ANN) to the spinosyn QSAR problem identified new directions for improved activity in the chemistry, which subsequent synthesis and testing confirmed. The ANN-based analogs coupled with other information on substitution effects resulting from spinosyn structure activity relationships lead to the discovery of spinetoram (XDE-175). Launched in late 2007, spinetoram provides both improved efficacy and an expanded spectrum while maintaining the exceptional environmental and toxicological profile already established for the spinosyn chemistry.

摘要

多杀菌素是一种新型的发酵衍生杀虫剂,提高其功效和光谱范围一直是陶氏益农公司的目标。由于多杀菌素是大型复杂的发酵产物,确定可能提高活性的特定修饰是一个困难的过程,因为大多数修饰都会降低活性。人们研究了各种方法来确定多杀菌素化学的新合成方向,包括对多杀菌素定量构效关系(QSAR)的几次探索,但最初都没有成功。然而,将人工神经网络(ANN)应用于多杀菌素QSAR问题,确定了化学中提高活性的新方向,随后的合成和测试证实了这一点。基于人工神经网络的类似物,再结合多杀菌素构效关系产生的其他取代效应信息,促成了乙基多杀菌素(XDE-175)的发现。乙基多杀菌素于2007年末推出,在保持多杀菌素化学已确立的优异环境和毒理学特性的同时,提高了功效并扩大了光谱范围。

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