Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, College of Chemistry , Central China Normal University , Wuhan 430079 , China.
International Joint Research Center for Intelligent Biosensor Technology and Health , Central China Normal University , Wuhan 430079 , China.
J Chem Inf Model. 2019 Feb 25;59(2):630-635. doi: 10.1021/acs.jcim.8b00843. Epub 2019 Jan 23.
The concept of insecticide-likeness is valuable to select more promising lead candidates during the early stages of drug discovery. We analyzed the physicochemical properties of commercial insecticides and optimized available drug-likeness scoring functions to quantitatively evaluate the insecticidal-like potential of compounds. An interactive platform named Insecticide Physicochemical-properties Analysis Database (InsectiPAD) was developed, which covers 495 approved insecticides and over 22 200 related physicochemical properties. More importantly, it contains over 2900 qualitative analyses and 1500 quantitative scores for insecticides and provides comprehensive insecticide-likeness analysis for any compound. The accuracy and ability of InsectiPAD to distinguish known insecticides (positive sample) from other compounds (negative sample) was also assessed, which is around 75%. Simple input and efficient interpretation are ensured to be useful and helpful for insecticide discovery.
杀虫相似性的概念在药物发现的早期阶段选择更有前途的先导候选物时非常有价值。我们分析了商业杀虫剂的理化性质,并优化了现有的药物相似性评分函数,以定量评估化合物的杀虫相似性潜力。开发了一个名为杀虫剂理化性质分析数据库(InsectiPAD)的交互式平台,其中包含 495 种已批准的杀虫剂和超过 22200 种相关理化性质。更重要的是,它包含超过 2900 种定性分析和 1500 种杀虫剂的定量评分,并为任何化合物提供全面的杀虫相似性分析。还评估了 InsectiPAD 区分已知杀虫剂(阳性样本)和其他化合物(阴性样本)的准确性和能力,准确率约为 75%。确保简单的输入和有效的解释对于杀虫剂的发现是有用和有帮助的。