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δ-阿片受体上环状脑啡肽肽的生物活性形式及其识别的分子决定因素的表征

Characterization of the bioactive form and molecular determinants of recognition of cyclic enkephalin peptides at the delta-opioid receptor.

作者信息

Chew C, Villar H O, Loew G H

机构信息

Molecular Research Institute, Palo Alto, California 94304.

出版信息

Biopolymers. 1993 Apr;33(4):647-57. doi: 10.1002/bip.360330414.

Abstract

An extensive and systematic search strategy to determine the conformational profile of 12 cyclic disulfide-bridged opioid peptides with varying affinities at the delta receptor has been carried out to identify the structure that is recognized by the delta receptor for each analogue. The methods and procedures used here for the conformational search have already been validated for [D-Pen2,D-Pen5] enkephalin (DPDPE), one member of this family. Use of these methods led to a low-energy solution conformation of DPDPE in excellent agreement with all the geometric properties deduced from its solution nmr spectra. Each of the analogue was subjected to the same procedure, involving a combination of molecular dynamics simulations at high and low temperature. The study was repeated in two environmental conditions, an apolar environment, simulated by using a distance-dependent dielectric constant, and a polar environment by embedding the peptides in a high constant dielectric (epsilon = 80). An automated comparison of the different conformers based on their backbone rms and average distance between the key aromatic moieties was followed by graphic analysis using maximum structural overlap. The cross-comparison of the conformations for each analogue revealed a unique conformer that may be recognized by the delta receptor for each high-affinity analogue that permitted maintaining the critical elements required for recognition in a simple spatial orientation, while maximizing similarity in other regions.

摘要

为确定12种对δ受体具有不同亲和力的环状二硫键桥连阿片肽的构象概况,已开展了广泛而系统的搜索策略,以识别每种类似物被δ受体识别的结构。此处用于构象搜索的方法和程序已针对该家族成员之一的[D-青霉胺2,D-青霉胺5]脑啡肽(DPDPE)进行了验证。使用这些方法得到了DPDPE的低能溶液构象,与从其溶液核磁共振光谱推导的所有几何性质高度一致。每种类似物都经过相同的程序,包括高温和低温下的分子动力学模拟相结合。该研究在两种环境条件下重复进行,一种是非极性环境,通过使用距离依赖介电常数进行模拟,另一种是极性环境,通过将肽嵌入高介电常数(ε = 80)中进行模拟。基于主链均方根和关键芳香基团之间的平均距离对不同构象进行自动比较,随后使用最大结构重叠进行图形分析。对每种类似物构象的交叉比较揭示了一种独特的构象,对于每种高亲和力类似物,该构象可能被δ受体识别,它允许在简单的空间取向上保持识别所需的关键元素,同时在其他区域最大化相似性。

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