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内在无序蛋白质区域中的熵与信息

Entropy and Information within Intrinsically Disordered Protein Regions.

作者信息

Pritišanac Iva, Vernon Robert M, Moses Alan M, Forman Kay Julie D

机构信息

Program in Molecular Medicine, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.

Department of Cell & Systems Biology, University of Toronto, Toronto, ON M5S 3B2, Canada.

出版信息

Entropy (Basel). 2019 Jul 6;21(7):662. doi: 10.3390/e21070662.

Abstract

Bioinformatics and biophysical studies of intrinsically disordered proteins and regions (IDRs) note the high entropy at individual sequence positions and in conformations sampled in solution. This prevents application of the canonical sequence-structure-function paradigm to IDRs and motivates the development of new methods to extract information from IDR sequences. We argue that the information in IDR sequences cannot be fully revealed through positional conservation, which largely measures stable structural contacts and interaction motifs. Instead, considerations of evolutionary conservation of molecular features can reveal the full extent of information in IDRs. Experimental quantification of the large conformational entropy of IDRs is challenging but can be approximated through the extent of conformational sampling measured by a combination of NMR spectroscopy and lower-resolution structural biology techniques, which can be further interpreted with simulations. Conformational entropy and other biophysical features can be modulated by post-translational modifications that provide functional advantages to IDRs by tuning their energy landscapes and enabling a variety of functional interactions and modes of regulation. The diverse mosaic of functional states of IDRs and their conformational features within complexes demands novel metrics of information, which will reflect the complicated sequence-conformational ensemble-function relationship of IDRs.

摘要

对内在无序蛋白质和区域(IDR)的生物信息学和生物物理研究表明,在溶液中采样的单个序列位置和构象中具有高熵。这使得规范的序列-结构-功能范式无法应用于IDR,并促使人们开发从IDR序列中提取信息的新方法。我们认为,IDR序列中的信息无法通过位置保守性完全揭示,位置保守性主要衡量稳定的结构接触和相互作用基序。相反,对分子特征进化保守性的考虑可以揭示IDR中信息的全部范围。对IDR大构象熵进行实验量化具有挑战性,但可以通过核磁共振光谱和低分辨率结构生物学技术相结合测量的构象采样程度来近似,这些结果可以通过模拟进一步解释。构象熵和其他生物物理特征可以通过翻译后修饰进行调节,这些修饰通过调整其能量景观并实现各种功能相互作用和调节模式,为IDR提供功能优势。IDR功能状态的多样化组合及其在复合物中的构象特征需要新的信息度量标准,这将反映IDR复杂的序列-构象集合-功能关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d18/7515160/92bc808d1a9d/entropy-21-00662-g001.jpg

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