Suppr超能文献

由“接受者操作特征”曲线方法指导的虚拟筛选工作流程开发。应用于代谢型谷氨酸受体亚型4的高通量对接。

Virtual screening workflow development guided by the "receiver operating characteristic" curve approach. Application to high-throughput docking on metabotropic glutamate receptor subtype 4.

作者信息

Triballeau Nicolas, Acher Francine, Brabet Isabelle, Pin Jean-Philippe, Bertrand Hugues-Olivier

机构信息

Laboratoire de Chimie et Biochimie Pharmacologiques et Toxicologiques, UMR8601-CNRS, Université René Descartes-Paris V, 75270 Paris Cedex 06, France.

出版信息

J Med Chem. 2005 Apr 7;48(7):2534-47. doi: 10.1021/jm049092j.

Abstract

The "receiver operating characteristic" (ROC) curve method is a well-recognized metric used as an objective way to evaluate the ability of a given test to discriminate between two populations. This facilitates decision-making in a plethora of fields in which a wrong judgment may have serious consequences including clinical diagnosis, public safety, travel security, and economic strategies. When virtual screening is used to speed-up the drug discovery process in pharmaceutical research, taking the right decision upon selecting or discarding a molecule prior to in vitro evaluation is of paramount importance. Characterizing both the ability of a virtual screening workflow to select active molecules and the ability to discard inactive ones, the ROC curve approach is well suited for this critical decision gate. As a case study, the first virtual screening workflow focused on metabotropic glutamate receptor subtype 4 (mGlu4R) agonists is reported here. Six compounds out of 38 selected and tested in vitro were shown to have agonist activity on this target of therapeutic interest.

摘要

“接受者操作特征”(ROC)曲线法是一种公认的度量方法,用作评估给定测试区分两个群体能力的客观方式。这有助于在众多领域进行决策,在这些领域中错误判断可能会产生严重后果,包括临床诊断、公共安全、旅行安全和经济战略。在药物研究中使用虚拟筛选来加速药物发现过程时,在体外评估之前对分子进行选择或舍弃时做出正确决策至关重要。ROC曲线方法能够同时表征虚拟筛选工作流程选择活性分子的能力和舍弃非活性分子的能力,非常适合这个关键的决策关卡。作为一个案例研究,本文报道了首个聚焦于代谢型谷氨酸受体亚型4(mGlu4R)激动剂的虚拟筛选工作流程。在体外选择并测试的38种化合物中,有6种对这个具有治疗意义的靶点显示出激动剂活性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验