新型广谱有机磷抗胆碱酯酶中毒解毒剂的计算机鉴定。

IF 3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Sohaib Habiballah, Janice Chambers, Edward Meek, Brad Reisfeld
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引用次数: 0

摘要

由于它们可能会对健康造成严重的不良影响,人们已经做出了重大努力来开发有机磷(OP)抗胆碱酯酶的解药,如神经毒剂。为了达到最佳效果,解毒剂不仅必须重新激活被抑制的靶酶,而且还必须具有穿过血脑屏障(BBB)的能力。通过开发一组新的取代苯氧基烷基吡啶鎓肟,在穿透大脑的乙酰胆碱酯酶再激活剂方面取得了进展。为了帮助选择和优先考虑未来在这类化学品中合成和测试的化合物,并识别候选的广谱分子,开发了一个计算机框架来系统地生成结构,并对其进行再激活功效和血脑屏障穿透潜力的筛选。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The in silico identification of novel broad-spectrum antidotes for poisoning by organophosphate anticholinesterases

The in silico identification of novel broad-spectrum antidotes for poisoning by organophosphate anticholinesterases

Owing to their potential to cause serious adverse health effects, significant efforts have been made to develop antidotes for organophosphate (OP) anticholinesterases, such as nerve agents. To be optimally effective, antidotes must not only reactivate inhibited target enzymes, but also have the ability to cross the blood–brain barrier (BBB). Progress has been made toward brain-penetrating acetylcholinesterase reactivators through the development of a new group of substituted phenoxyalkyl pyridinium oximes. To help in the selection and prioritization of compounds for future synthesis and testing within this class of chemicals, and to identify candidate broad-spectrum molecules, an in silico framework was developed to systematically generate structures and screen them for reactivation efficacy and BBB penetration potential.

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来源期刊
Journal of Computer-Aided Molecular Design
Journal of Computer-Aided Molecular Design 生物-计算机:跨学科应用
CiteScore
8.00
自引率
8.60%
发文量
56
审稿时长
3 months
期刊介绍: The Journal of Computer-Aided Molecular Design provides a form for disseminating information on both the theory and the application of computer-based methods in the analysis and design of molecules. The scope of the journal encompasses papers which report new and original research and applications in the following areas: - theoretical chemistry; - computational chemistry; - computer and molecular graphics; - molecular modeling; - protein engineering; - drug design; - expert systems; - general structure-property relationships; - molecular dynamics; - chemical database development and usage.
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