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Distribution of toxicity values across different species and modes of action of pesticides from PESTIMEP and PPDB databases

机译:来自Pestimep和PPDB数据库不同种类跨不同种类和农药的作用方式的毒性值分布

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摘要

The continuous use of compounds contained in commodities such as processed food, medicines, and pesticides, demands safety measures, in particular, for those in direct contact with humans and the environment. Safety measures have evolved and regulations are now in place around the globe. In the case of pesticides, attempts have been made to use toxicological data to inform of potentially harmful compounds either across species, on different routes of exposure, or entirely new chemicals. The generation of models, based on statistical and molecular modeling studies, allows for such predictions. However, the use of these models is framed by the available data, the experimental errors, the complexity of the measurement, and the available computational algorithms, among other factors. In this work, we present the methodologies used for extrapolation across different species and routes of administration and show the appropriateness of developing predictive models of pesticides based on their type and mode of action. The analyses include comparisons based on structural characteristics and physicochemical properties. Whenever possible, the scope and limitations of the methodologies are discussed. We expect that this work will serve as a useful introductory guide of the tools employed in the toxicity assessment of agrochemical compounds.
机译:连续使用包含在加工食品,药物和农药等商品中所含的化合物,特别是对于与人类和环境直接接触的人来说需要安全措施。安全措施已经发展,并在全球范围内进行规定。在杀虫剂的情况下,已经尝试使用毒理学数据,以在不同的曝光途径上通知潜在的有害化合物,或完全新化学品。基于统计和分子建模研究的模型的产生允许这种预测。然而,这些模型的使用由可用数据,实验误差,测量的复杂性以及可用的计算算法以及其他因素构成。在这项工作中,我们提出了用于不同物种和管理途径外推的方法,并基于其类型和行动方式显示出现杀虫剂预测模型的适当性。分析包括基于结构特征和物理化学性质的比较。每当有可能的情况下,讨论了方法的范围和限制。我们预计这项工作将作为农业化学化合物毒性评估中使用的工具的有用介绍性指南。

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