Drug Theoretics and Cheminformatics Laboratory, Division of Medicinal and Pharmaceutical Chemistry, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700 032, India.
J Hazard Mater. 2010 Nov 15;183(1-3):913-22. doi: 10.1016/j.jhazmat.2010.07.116. Epub 2010 Aug 6.
Aldehydes are a toxic class of chemicals causing severe health hazards. In this background, quantitative structure-toxicity relationship (QSTR) models have been developed in the present study using Extended Topochemical Atom (ETA) indices for a large group of 77 aromatic aldehydes for their acute toxicity against the protozoan ciliate Tetrahymena pyriformis. The ETA models have been compared with those developed using various non-ETA topological indices. Attempt was also made to include the n-octanol/water partition coefficient (logK(o/w)) as an additional descriptor considering the importance of hydrophobicity in toxicity prediction. Thirty different models were developed using different chemometric tools. All the models have been validated using internal validation and external validation techniques. The statistical quality of the ETA models was found to be comparable to that of the non-ETA models. The ETA models have shown the important effects of steric bulk, lipophilicity, presence of electronegative atom containing substituents and functionality of the aldehydic oxygen to the toxicity of the aldehydes. The best ETA model (without using logK(o/w)) shows encouraging statistical quality (Q(int)(2)=0.709,Q(ext)(2)=0.744). It is interesting to note that some of the topological models reported here are better in statistical quality than previously reported models using quantum chemical descriptors.
醛类是一类有毒的化学物质,会对健康造成严重危害。在此背景下,本研究采用扩展拓扑原子(ETA)指数,针对 77 种芳香醛类化合物对原生纤毛虫四膜虫的急性毒性,建立了定量结构-毒性关系(QSTR)模型。ETA 模型与使用各种非 ETA 拓扑指数建立的模型进行了比较。还尝试将正辛醇/水分配系数(logK(o/w))作为附加描述符纳入其中,考虑到疏水性在毒性预测中的重要性。使用不同的化学计量学工具开发了 30 种不同的模型。所有模型均采用内部验证和外部验证技术进行验证。ETA 模型的统计质量被发现与非 ETA 模型相当。ETA 模型表明,空间位阻、亲脂性、含电负性原子取代基的存在以及醛基的官能团对醛类化合物的毒性有重要影响。最佳的 ETA 模型(不使用 logK(o/w))显示出令人鼓舞的统计质量(Q(int)(2)=0.709,Q(ext)(2)=0.744)。有趣的是,这里报告的一些拓扑模型在统计质量上优于以前使用量子化学描述符报告的模型。