Pesticide informatics expands the opportunity for structure-based molecular design and optimization

Wei Zhao , Yuan-qin Huang , Ge-Fei Hao
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引用次数: 8

Abstract

The discovery process of pesticides is confronting more and more difficult obstacles, including the rising costs of materials and labor, which are costly and time-consuming. Pesticide informatics brings an opportunity for structure-based molecular design and optimization, which could improve the efficiency of pesticides discovery. However, there are still some problems in using informatics methods to improve the efficiency of pesticide discovery. Here, we provide a summary of databases and tools used in pesticide informatics, including those for target information search, virtual screening (VS), scaffold optimization, and pesticide-likeness assessment. Moreover, some successful cases of hit compound optimization utilizing the aforementioned approaches were dissected. We hope this review can guide researchers choose appropriate techniques to increase the effectiveness of hit compounds identification and optimization.

农药信息学扩展了基于结构的分子设计和优化的机会
农药的发现过程面临着越来越困难的障碍,包括材料和劳动力成本的上升,这是昂贵和耗时的。农药信息学为基于结构的分子设计和优化提供了机会,可以提高农药发现的效率。然而,在利用信息学方法提高农药发现效率方面还存在一些问题。在此,我们总结了农药信息学中使用的数据库和工具,包括目标信息搜索、虚拟筛选(VS)、支架优化和农药相似性评估。此外,还分析了利用上述方法进行命中复合优化的成功案例。希望本文的综述能够指导研究人员选择合适的技术来提高hit化合物的鉴定和优化效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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