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首页> 外文期刊>Journal of Medicinal Chemistry >Virtual Screening Workflow Development Guided by the 'Receiver Operating Characteristic' Curve Approach. Application to High-Throughput Docking on Metabotropic Glutamate Receptor Subtype 4.
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Virtual Screening Workflow Development Guided by the 'Receiver Operating Characteristic' Curve Approach. Application to High-Throughput Docking on Metabotropic Glutamate Receptor Subtype 4.

机译:虚拟筛选工作流程开发以“接收器工作特性”曲线方法为指导。在代谢型谷氨酸受体亚型4的高通量对接中的应用

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摘要

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.
机译:“接收器工作特性”(ROC)曲线方法是一种公认​​的指标,用作评估给定测试区分两个人群的能力的客观方法。这有助于在很多领域做出决策,在这些领域中,错误的判断可能会带来严重的后果,包括临床诊断,公共安全,旅行安全和经济策略。当使用虚拟筛选来加快药物研究中的药物发现过程时,在体外评估之前选择或丢弃分子时做出正确的决定至关重要。 ROC曲线方法既具有虚拟筛选工作流程选择活性分子的能力,又具有丢弃非活性分子的能力,因此非常适合此关键决策门。作为案例研究,此处报道了第一个针对代谢型谷氨酸受体亚型4(mGlu4R)激动剂的虚拟筛选工作流程。从38种选择和体外测试的化合物中,有6种对这一治疗目标具有激动剂活性。

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