Morrill Jason A, Topczewski Joseph J, Lodge Alexander M, Yasapala Nilanthi, Quinn Daniel M
Department of Chemistry, William Jewell College, 500 College Hill, Liberty, MO 64068, United States.
Department of Chemistry, University of Iowa, E331 Chemistry Building, Iowa City, IA 52242-1294, United States.
J Mol Graph Model. 2015 Nov;62:181-189. doi: 10.1016/j.jmgm.2015.09.016. Epub 2015 Sep 30.
Among the most toxic substances known are the organophosphorus (OP) compounds used as pesticides and chemical warfare agents. Owing to their high toxicity there is a number of efforts underway to develop effective therapies for OP agent exposure. To date all therapies in use treat inhibited acetylcholinesterase (AChE), but are ineffective for the treatment of inhibited AChE, which has undergone a subsequent hydrolysis process, referred to as aging. Toward developing a therapy for treating victims of OP intoxication in the aged state we have developed Quantitative Structure-Activity Relationships (QSARs) based on the AM1 semiempirical quantum mechanical method using the program, CODESSA (COmprehensive Descriptors for Structural and Statistical Analysis). Using this methodology we obtained a multiple correlation QSAR equation which gave R(2)=0.9359 for a random training set of 38 ligands and R(2)=0.9236 for prediction on a random test set of 9 ligands.
已知毒性最强的物质中有用作杀虫剂和化学战剂的有机磷(OP)化合物。由于其高毒性,目前正在进行多项努力以开发针对OP剂暴露的有效疗法。迄今为止,所有使用的疗法都针对被抑制的乙酰胆碱酯酶(AChE)进行治疗,但对于已经经历了后续水解过程(称为老化)的被抑制的AChE的治疗无效。为了开发一种治疗处于老化状态的OP中毒受害者的疗法,我们使用CODESSA(结构和统计分析综合描述符)程序,基于AM1半经验量子力学方法开发了定量构效关系(QSAR)。使用这种方法,我们得到了一个多元相关QSAR方程,对于38个配体的随机训练集,R² = 0.9359,对于9个配体的随机测试集的预测,R² = 0.9236。