Computational design and experimental confirmation of conformationally constrained peptides to compete with coactivators for pediatric PPAR[Formula: see text] by minimizing indirect readout effect.

IF 0.9 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Bioinformatics and Computational Biology Pub Date : 2022-10-01 Epub Date: 2022-09-12 DOI:10.1142/S0219720022500202
Caijie Gao, Xu Zhao, Jianrong Fan
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引用次数: 1

Abstract

The peroxisome proliferator-activated receptor-[Formula: see text] (PPAR[Formula: see text]) is a member of PPAR nuclear receptor family, and its antagonists have been widely used to treat pediatric metabolic disorders. Traditional type-1 and type-2 PPAR[Formula: see text] antagonists are all small-molecule compounds that have been developed to target the ligand-binding site (LBS) of PPAR[Formula: see text], which is not overlapped with the coactivator-interacting site (CIS) of PPAR[Formula: see text]. In this study, we described the rational design of type-3 peptidic antagonists that can directly disrupt PPAR[Formula: see text]-coactivator interaction by physically competing with coactivator proteins for the CIS site. In the procedure, seven reported PPAR[Formula: see text] coactivator proteins were collected and eight 11-mer helical peptide segments that contain the core PPAR[Formula: see text]-binding LXXLL motif were identified in these coactivators, which, however, possessed a large flexibility and intrinsic disorder when splitting from coactivator protein context, and thus would incur a considerable entropy penalty (i.e. indirect readout) upon binding to PPAR[Formula: see text] CIS site. By carefully examining the natively folded conformation of these helical peptides in their parent protein context and in their interaction mode with the CIS site, we rationally designed a hydrocarbon bridge across the solvent-exposed, ([Formula: see text], [Formula: see text]+ 4) residues to constrain their helical conformation, thus largely minimizing the unfavorable indirect readout effect but having only a moderate influence on favorable enthalpy contribution (i.e. direct readout) upon PPAR[Formula: see text]-peptide binding. The computational findings were further substantiated by fluorescence competition assays.

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通过最小化间接读数效应,计算设计和实验确认构象约束肽与助激活剂竞争用于儿科PPAR[公式:见文本]。
过氧化物酶体增殖物激活受体(PPAR)是PPAR核受体家族的一员,其拮抗剂已被广泛用于治疗儿童代谢紊乱。传统的1型和2型PPAR[公式:见文]拮抗剂都是针对PPAR的配体结合位点(LBS)[公式:见文]开发的小分子化合物,它与PPAR的共激活物相互作用位点(CIS)不重叠[公式:见文]。在这项研究中,我们描述了3型肽拮抗剂的合理设计,这些拮抗剂可以直接破坏PPAR[公式:见文本]-协同激活剂的相互作用,通过物理上与协同激活剂蛋白竞争CIS位点。在此过程中,收集了7个已报道的PPAR[公式:见文]共激活子蛋白,并在这些共激活子中鉴定出8个包含核心PPAR[公式:见文]结合LXXLL基序的11-mer螺旋肽段,然而,这些共激活子在从共激活子蛋白上下文分离时具有很大的灵活性和内在的无序性,因此在与PPAR[公式:见文]CIS位点结合时会产生相当大的熵损失(即间接读取)。通过仔细研究这些螺旋肽在亲本蛋白环境下的天然折叠构象,以及它们与CIS位点的相互作用模式,我们合理地设计了一个横跨溶剂暴露的碳氢化合物桥。+ 4)残基来限制它们的螺旋构象,从而在很大程度上最小化不利的间接读出效应,但对PPAR[公式:见文本]-肽结合的有利焓贡献(即直接读出)只有适度的影响。荧光竞争实验进一步证实了计算结果。
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来源期刊
Journal of Bioinformatics and Computational Biology
Journal of Bioinformatics and Computational Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
2.10
自引率
0.00%
发文量
57
期刊介绍: The Journal of Bioinformatics and Computational Biology aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of cellular information. The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community. The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology. Such carefully chosen tutorials and articles should greatly accelerate the rate of entry of these new creative scientists into the field.
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