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一种蛋白质结构集合网络特征的自动化方法。

An automated approach to network features of protein structure ensembles.

机构信息

Molecular Biophysics Unit, Indian Institute of Science, Bangalore, 560012, India.

出版信息

Protein Sci. 2013 Oct;22(10):1399-416. doi: 10.1002/pro.2333.

Abstract

Network theory applied to protein structures provides insights into numerous problems of biological relevance. The explosion in structural data available from PDB and simulations establishes a need to introduce a standalone-efficient program that assembles network concepts/parameters under one hood in an automated manner. Herein, we discuss the development/application of an exhaustive, user-friendly, standalone program package named PSN-Ensemble, which can handle structural ensembles generated through molecular dynamics (MD) simulation/NMR studies or from multiple X-ray structures. The novelty in network construction lies in the explicit consideration of side-chain interactions among amino acids. The program evaluates network parameters dealing with topological organization and long-range allosteric communication. The introduction of a flexible weighing scheme in terms of residue pairwise cross-correlation/interaction energy in PSN-Ensemble brings in dynamical/chemical knowledge into the network representation. Also, the results are mapped on a graphical display of the structure, allowing an easy access of network analysis to a general biological community. The potential of PSN-Ensemble toward examining structural ensemble is exemplified using MD trajectories of an ubiquitin-conjugating enzyme (UbcH5b). Furthermore, insights derived from network parameters evaluated using PSN-Ensemble for single-static structures of active/inactive states of β2-adrenergic receptor and the ternary tRNA complexes of tyrosyl tRNA synthetases (from organisms across kingdoms) are discussed. PSN-Ensemble is freely available from http://vishgraph.mbu.iisc.ernet.in/PSN-Ensemble/psn_index.html.

摘要

网络理论在蛋白质结构中的应用为许多具有生物学相关性的问题提供了新的认识。从 PDB 和模拟中获得的结构数据的爆炸式增长,建立了引入一个独立的高效程序的需求,该程序可以自动将网络概念/参数组合在一个罩子下。在此,我们讨论了一个全面、用户友好、独立的程序包 PSN-Ensemble 的开发/应用,该程序包可以处理通过分子动力学 (MD) 模拟/NMR 研究或来自多个 X 射线结构生成的结构集合。网络构建的新颖之处在于明确考虑了氨基酸之间的侧链相互作用。该程序评估了涉及拓扑组织和远程变构通信的网络参数。在 PSN-Ensemble 中,以残基对交叉相关/相互作用能的形式引入灵活的加权方案,将动态/化学知识引入到网络表示中。此外,结果映射到结构的图形显示上,允许一般生物学界轻松访问网络分析。使用泛素连接酶 (UbcH5b) 的 MD 轨迹为例,说明了 PSN-Ensemble 检查结构集合的潜力。此外,还讨论了使用 PSN-Ensemble 评估单个静态结构的活性/非活性状态的β2-肾上腺素能受体和酪氨酸 tRNA 合成酶的三元 tRNA 复合物的网络参数得出的见解(来自不同领域的生物体)。PSN-Ensemble 可从 http://vishgraph.mbu.iisc.ernet.in/PSN-Ensemble/psn_index.html 免费获得。

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