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NMRFAM-SDF:一种蛋白质结构测定框架。

NMRFAM-SDF: a protein structure determination framework.

作者信息

Dashti Hesam, Lee Woonghee, Tonelli Marco, Cornilescu Claudia C, Cornilescu Gabriel, Assadi-Porter Fariba M, Westler William M, Eghbalnia Hamid R, Markley John L

机构信息

National Magnetic Resonance Facility at Madison, Biochemistry Department, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI, USA.

出版信息

J Biomol NMR. 2015 Aug;62(4):481-95. doi: 10.1007/s10858-015-9933-8. Epub 2015 Apr 22.

Abstract

The computationally demanding nature of automated NMR structure determination necessitates a delicate balancing of factors that include the time complexity of data collection, the computational complexity of chemical shift assignments, and selection of proper optimization steps. During the past two decades the computational and algorithmic aspects of several discrete steps of the process have been addressed. Although no single comprehensive solution has emerged, the incorporation of a validation protocol has gained recognition as a necessary step for a robust automated approach. The need for validation becomes even more pronounced in cases of proteins with higher structural complexity, where potentially larger errors generated at each step can propagate and accumulate in the process of structure calculation, thereby significantly degrading the efficacy of any software framework. This paper introduces a complete framework for protein structure determination with NMR--from data acquisition to the structure determination. The aim is twofold: to simplify the structure determination process for non-NMR experts whenever feasible, while maintaining flexibility by providing a set of modules that validate each step, and to enable the assessment of error propagations. This framework, called NMRFAM-SDF (NMRFAM-Structure Determination Framework), and its various components are available for download from the NMRFAM website (http://nmrfam.wisc.edu/software.htm).

摘要

自动核磁共振结构测定对计算要求很高,因此需要对各种因素进行精细平衡,这些因素包括数据采集的时间复杂度、化学位移归属的计算复杂度以及合适优化步骤的选择。在过去二十年中,该过程几个离散步骤的计算和算法方面已得到解决。虽然尚未出现单一的全面解决方案,但纳入验证协议已被公认为稳健自动方法的必要步骤。对于结构复杂度较高的蛋白质而言,验证的必要性更为明显,因为在结构计算过程中,每一步产生的潜在较大误差可能会传播和累积,从而显著降低任何软件框架的效能。本文介绍了一个完整的利用核磁共振进行蛋白质结构测定的框架——从数据采集到结构测定。目的有两个:在可行的情况下,为非核磁共振专家简化结构测定过程,同时通过提供一组验证每个步骤的模块来保持灵活性,并能够评估误差传播。这个框架称为NMRFAM-SDF(NMRFAM-结构测定框架),其各个组件可从NMRFAM网站(http://nmrfam.wisc.edu/software.htm)下载。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/536f/4569665/e1977b7712fb/10858_2015_9933_Fig1_HTML.jpg

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