Design of peptide-based PAC1 antagonists combining molecular dynamics simulations and a biologically relevant cell-based assay

IF 5.6 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Wenqin Xu , Abigail M. Keith , Wenjuan Ye , Xin Hu , Noel Southall , Juan J. Marugan , Marc Ferrer , Mark J. Henderson , Patrick M. Sexton , Giuseppe Deganutti , Lee E. Eiden
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Abstract

The PACAP receptor PAC1 is a Gs-coupled family B1 GPCR for which the highest-affinity endogenous peptide ligands are the pituitary adenylate cyclase-activating peptides PACAP38 and PACAP27, and whose most abundant endogenous ligand is PACAP38. PACAP action at PAC1 is implicated in neuropsychiatric disorders, atherosclerosis, pain chronification, and protection from neurodegeneration and ischemia. As PACAP also interacts with two related receptors, VPAC1 and VPAC2, highly selective ligands, both agonists and antagonists, for PAC1 have been sought. To date, the peptide PACAP(6–38) and polypeptide M65, which is related to maxadilan, a sandfly vasodilator peptide, have been identified as selective for PAC1. Several non-peptide small molecule compounds (SMOLs) have been reported to be specific antagonists at PAC1, albeit there is only limited literature detailing their pharmacology across different systems and within different laboratories. Here, we present a platform of cellular assays for the screening of biologically relevant antagonists at PAC1 and show that some currently proposed SMOL antagonists do not have activity in this cell reporter assay, while we confirm that PACAP(6–38) and M65 are competitive antagonists. We have used this assay system to explore other peptide antagonists at PAC1, guided by molecular dynamics analysis of the PACAP-PAC1 interaction based on cryo-EM structural models of PAC1 complexed with a number of biologically active ligands. The affinity-trap model for the PAC1-ligand interaction successfully predicts the engagement behavior of PACAP27 and PACAP38 peptide-based PAC1 inhibitors. In particular, C-terminal deletants of PACAP(6–38) that maintain equipotency to PACAP(6–38) allow the shorter sequence to function as a scaffold for further peptide-based antagonist exploration.

Abstract Image

基于肽的PAC1拮抗剂的设计,结合分子动力学模拟和生物学相关的基于细胞的测定。
PACAP受体PAC1是一个gs偶联家族B1 GPCR,其亲和力最高的内源性肽配体是垂体腺苷酸环化酶激活肽PACAP38和PACAP27,其内源性配体最丰富的是PACAP38。PACAP在PAC1的作用与神经精神疾病、动脉粥样硬化、疼痛慢性化、保护神经变性和缺血有关。由于PACAP还与两种相关受体VPAC1和VPAC2相互作用,因此人们一直在寻找PAC1的高选择性配体,包括激动剂和拮抗剂。迄今为止,肽PACAP(6-38)和与maxadilan(一种白蛉血管扩张肽)相关的多肽M65已被确定为对PAC1具有选择性。据报道,几种非肽小分子化合物(SMOLs)是PAC1的特异性拮抗剂,尽管只有有限的文献详细介绍了它们在不同系统和不同实验室中的药理学。在这里,我们提出了一个用于筛选PAC1生物相关拮抗剂的细胞检测平台,并表明一些目前提出的SMOL拮抗剂在这种细胞报告试验中不具有活性,而我们证实PACAP(6-38)和M65是竞争性拮抗剂。我们已经使用该检测系统来探索PAC1上的其他肽拮抗剂,通过基于PAC1与许多生物活性配体络合的冷冻电镜结构模型对PACAP-PAC1相互作用进行分子动力学分析。PAC1-配体相互作用的亲和陷阱模型成功地预测了PACAP27和PACAP38肽基PAC1抑制剂的结合行为。特别是,PACAP(6-38)的c端缺失基因(6-38)与PACAP(6-38)保持相同的效力,使得较短的序列可以作为进一步肽基拮抗剂探索的支架。
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来源期刊
Biochemical pharmacology
Biochemical pharmacology 医学-药学
CiteScore
10.30
自引率
1.70%
发文量
420
审稿时长
17 days
期刊介绍: Biochemical Pharmacology publishes original research findings, Commentaries and review articles related to the elucidation of cellular and tissue function(s) at the biochemical and molecular levels, the modification of cellular phenotype(s) by genetic, transcriptional/translational or drug/compound-induced modifications, as well as the pharmacodynamics and pharmacokinetics of xenobiotics and drugs, the latter including both small molecules and biologics. The journal''s target audience includes scientists engaged in the identification and study of the mechanisms of action of xenobiotics, biologics and drugs and in the drug discovery and development process. All areas of cellular biology and cellular, tissue/organ and whole animal pharmacology fall within the scope of the journal. Drug classes covered include anti-infectives, anti-inflammatory agents, chemotherapeutics, cardiovascular, endocrinological, immunological, metabolic, neurological and psychiatric drugs, as well as research on drug metabolism and kinetics. While medicinal chemistry is a topic of complimentary interest, manuscripts in this area must contain sufficient biological data to characterize pharmacologically the compounds reported. Submissions describing work focused predominately on chemical synthesis and molecular modeling will not be considered for review. While particular emphasis is placed on reporting the results of molecular and biochemical studies, research involving the use of tissue and animal models of human pathophysiology and toxicology is of interest to the extent that it helps define drug mechanisms of action, safety and efficacy.
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