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自动生成话语模仿:MC4 受体的概念验证研究。

Automated generation of turn mimetics: proof of concept study for the MC4 receptor.

机构信息

Neurocrine Biosciences, 12790 El Camino Real, San Diego, CA 92130, USA.

出版信息

Bioorg Med Chem. 2012 Jun 1;20(11):3565-74. doi: 10.1016/j.bmc.2012.04.001. Epub 2012 Apr 13.

Abstract

An algorithm has been devised for the automatic design of peptide turn mimetics, particularly applicable to peptide-activated GPCRs. The method is based on flexible alignments using a new design paradigm and scoring system that aims to reduce the molecular weight of the compound and preferentially lead to drug like molecules. The process can be applied either as a de novo design or a virtual screening tool. Its use has been demonstrated by the design of novel double digit nanomolar ligands for the melanocortin 4 receptor (MC4). The method is, in principle, applicable to any type of receptor, including orphan receptors.

摘要

已经设计出一种用于自动设计肽环类似物的算法,特别适用于肽激活的 GPCR。该方法基于使用新的设计范例和评分系统的灵活排列,旨在降低化合物的分子量并优先产生类药物分子。该过程既可以作为从头设计,也可以作为虚拟筛选工具。通过设计新型双位数纳摩尔黑素皮质素 4 受体 (MC4) 配体证明了该方法的有效性。该方法原则上适用于任何类型的受体,包括孤儿受体。

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