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基于结构的虚拟筛选、分子对接和分子动力学方法相结合用于发现抗朊病毒原纤维类黄酮

Combination of structure-based virtual screening, molecular docking and molecular dynamics approaches for the discovery of anti-prion fibril flavonoids.

作者信息

Jheng Cheng-Ping, Lee Cheng-I

机构信息

Department of Biomedical Sciences, National Chung Cheng University, Chia-Yi, Taiwan.

Center for Nano Bio-Detections, National Chung Cheng University, Chia-Yi, Taiwan.

出版信息

Front Mol Biosci. 2023 Jan 5;9:1088733. doi: 10.3389/fmolb.2022.1088733. eCollection 2022.

DOI:10.3389/fmolb.2022.1088733
PMID:36685276
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9849400/
Abstract

Prion diseases are a group of rare neurodegenerative diseases caused by the structural conversion of cellular prion into Scrapie prion resulting aggregated fibrils. Therapy of prion diseases has been developed for several decades, especially drug designs based on the structure of prion monomers. Unfortunately, none of the designed anti-prion drugs function well clinically. To fight against prion fibrils, a drug design based on the precise structure of mammalian prion fibrils is highly required. Fortunately, based on the advantage of newly advanced cryo-electron microscopy (cryo-EM) in the deconvolution of large complexes, three prion fibril structures were resolved in the last 2 years. Based on the cryo-EM solved prion fibril structures, we are able to find some molecules fighting against prion fibrils. Quercetin, one flavonoid molecule in the polyphenol group, has been found to disaggregate the prion fibrils . In this study, we performed the molecular docking and molecular dynamics simulation on quercetin-like molecules possessing pharmacological properties to evaluate the anti-prion ability of tested molecules. As a result, four quercetin-like molecules interact with prion fibril and decrease the β-strand content by converting some β-strands into loop and helical structures to disintegrate the existing fibril structure. The results of this study are significant in the treatment of prion diseases, and the approaches used in this study are applicable to other amyloid diseases.

摘要

朊病毒疾病是一组罕见的神经退行性疾病,由细胞朊病毒结构转化为羊瘙痒病朊病毒并形成聚集的纤维所致。朊病毒疾病的治疗已经开展了几十年,尤其是基于朊病毒单体结构的药物设计。不幸的是,所设计的抗朊病毒药物在临床上均未取得良好效果。为了对抗朊病毒纤维,迫切需要基于哺乳动物朊病毒纤维精确结构的药物设计。幸运的是,基于新发展的低温电子显微镜(cryo-EM)在解析大复合物方面的优势,在过去两年中解析出了三种朊病毒纤维结构。基于cryo-EM解析出的朊病毒纤维结构,我们能够找到一些对抗朊病毒纤维的分子。槲皮素是多酚类中的一种黄酮类分子,已被发现能使朊病毒纤维解聚。在本研究中,我们对具有药理特性的槲皮素类似分子进行了分子对接和分子动力学模拟,以评估受试分子的抗朊病毒能力。结果,四种槲皮素类似分子与朊病毒纤维相互作用,并通过将一些β链转化为环和螺旋结构来降低β链含量,从而破坏现有的纤维结构。本研究结果在朊病毒疾病治疗方面具有重要意义,且本研究中使用的方法适用于其他淀粉样疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/a6eb474deb2b/fmolb-09-1088733-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/2037e53a15ff/fmolb-09-1088733-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/edd28ab17ca7/fmolb-09-1088733-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/5cdda1aabb62/fmolb-09-1088733-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/a37d88849502/fmolb-09-1088733-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/a874f3f1f3df/fmolb-09-1088733-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/5ee89bdb66d4/fmolb-09-1088733-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/6f340343e4cc/fmolb-09-1088733-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/a6eb474deb2b/fmolb-09-1088733-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/2037e53a15ff/fmolb-09-1088733-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/edd28ab17ca7/fmolb-09-1088733-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/5cdda1aabb62/fmolb-09-1088733-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/a37d88849502/fmolb-09-1088733-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/a874f3f1f3df/fmolb-09-1088733-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/5ee89bdb66d4/fmolb-09-1088733-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/6f340343e4cc/fmolb-09-1088733-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc8/9849400/a6eb474deb2b/fmolb-09-1088733-g008.jpg

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ACS Chem Neurosci. 2021 Oct 20;12(20):3838-3854. doi: 10.1021/acschemneuro.1c00240. Epub 2021 Oct 1.
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