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健康与疾病中蛋白质形态发生的复杂性展望

An Outlook on the Complexity of Protein Morphogenesis in Health and Disease.

作者信息

Brunori Maurizio, Gianni Stefano

机构信息

Istituto Pasteur-Fondazione Cenci Bolognetti, Dipartimento di Scienze Biochimiche "A. Rossi Fanelli" and Istituto di Biologia e Patologia Molecolari del CNR, Sapienza Università, Rome, Italy.

Accademia Nazionale dei Lincei, Rome, Italy.

出版信息

Front Mol Biosci. 2022 Jun 13;9:909567. doi: 10.3389/fmolb.2022.909567. eCollection 2022.

DOI:10.3389/fmolb.2022.909567
PMID:35769915
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9234464/
Abstract

The study of the mechanisms whereby proteins achieve their native functionally competent conformation has been a key issue in molecular biosciences over the last 6 decades. Nevertheless, there are several debated issues and open problems concerning some aspects of this fundamental problem. By considering the emerging complexity of the so-called "native state," we attempt hereby to propose a personal account on some of the key topics in the field, ranging from the relationships between misfolding and diseases to the significance of protein disorder. Finally, we briefly describe the recent and exciting advances in predicting protein structures from their amino acid sequence.

摘要

在过去的60年里,蛋白质如何形成其天然功能活性构象的机制研究一直是分子生物科学中的一个关键问题。然而,关于这个基本问题的某些方面,仍存在一些有争议的问题和未解决的难题。通过考虑所谓“天然状态”日益增加的复杂性,我们在此试图就该领域的一些关键主题提出个人观点,内容涵盖从错误折叠与疾病的关系到蛋白质无序的意义。最后,我们简要描述了从氨基酸序列预测蛋白质结构方面最近取得的令人兴奋的进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4d/9234464/90ab053af49e/fmolb-09-909567-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4d/9234464/149643fa5d03/fmolb-09-909567-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4d/9234464/9f8978b8f10d/fmolb-09-909567-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4d/9234464/90ab053af49e/fmolb-09-909567-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4d/9234464/149643fa5d03/fmolb-09-909567-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4d/9234464/9f8978b8f10d/fmolb-09-909567-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c4d/9234464/90ab053af49e/fmolb-09-909567-g003.jpg

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本文引用的文献

1
ColabFold: making protein folding accessible to all.ColabFold:让蛋白质折叠变得人人可用。
Nat Methods. 2022 Jun;19(6):679-682. doi: 10.1038/s41592-022-01488-1. Epub 2022 May 30.
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Artificial intelligence in the experimental determination and prediction of macromolecular structures.人工智能在大分子结构的实验测定和预测中的应用。
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Effects of oligomer toxicity, fibril toxicity and fibril spreading in synucleinopathies.寡聚物毒性、纤维毒性和纤维扩散在突触核蛋白病中的作用。
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How do protein aggregates escape quality control in neurodegeneration?蛋白质聚集体是如何在神经退行性变中逃避质量控制的?
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Mutant libraries reveal negative design shielding proteins from supramolecular self-assembly and relocalization in cells.突变文库揭示了从超分子自组装和细胞重定位中设计屏蔽蛋白的负面作用。
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Cryo-EM structures of amyloid-β 42 filaments from human brains.人脑淀粉样蛋白-β 42 纤维的冷冻电镜结构。
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Small molecule protein binding to correct cellular folding or stabilize the native state against misfolding and aggregation.小分子与蛋白质结合以纠正细胞折叠或稳定天然状态,防止错误折叠和聚集。
Curr Opin Struct Biol. 2022 Feb;72:267-278. doi: 10.1016/j.sbi.2021.11.009. Epub 2022 Jan 6.
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Structural basis for transthyretin amyloid formation in vitreous body of the eye.眼玻璃体中原甲状腺素蛋白淀粉样形成的结构基础。
Nat Commun. 2021 Dec 8;12(1):7141. doi: 10.1038/s41467-021-27481-4.
10
Computed structures of core eukaryotic protein complexes.核心真核蛋白复合物的计算结构。
Science. 2021 Dec 10;374(6573):eabm4805. doi: 10.1126/science.abm4805.