Suppr超能文献

具有幂律相关性的随机序列呈现出类似蛋白质的行为。

Random sequences with power-law correlations exhibit proteinlike behavior.

作者信息

Mamasakhlisov Yevgeni Sh, Hayryan Shura, Hu Chin-Kun

机构信息

Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan.

出版信息

J Chem Phys. 2007 Apr 14;126(14):145103. doi: 10.1063/1.2714944.

Abstract

We use a replica approach to investigate the thermodynamic properties of the random heteropolymers with persistent power-law correlations in monomer sequence. We show that this type of sequences possess proteinlike properties. In particular, we show that they can fold into stable unique three-dimensional structure (the "native" structure, in protein terminology) through two different types of pathways. One is a fast folding pathway and leads directly to the native structure. Another one, a more slower pathway, passes through the microphase separated (MPS) state and includes a number of intermediate glassy states. The scale and the magnitude of the MPS are calculated. The frozen state can be reached only by sequences with weak long-range correlations. The critical value for the correlation exponent is found, above which (strong correlations) freezing is impossible.

摘要

我们采用一种复制方法来研究单体序列中具有持久幂律相关性的无规杂聚物的热力学性质。我们表明,这种类型的序列具有类似蛋白质的性质。特别是,我们表明它们可以通过两种不同类型的途径折叠成稳定的独特三维结构(用蛋白质术语来说就是“天然”结构)。一种是快速折叠途径,直接通向天然结构。另一种则是更慢的途径,经过微相分离(MPS)状态并包括许多中间玻璃态。计算了MPS的尺度和大小。只有具有弱长程相关性的序列才能达到冻结状态。找到了相关指数的临界值,高于该值(强相关性)就不可能发生冻结。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验