切片:最大化结构生物学家预测模型的价值。

IF 3.8 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Adam J Simpkin, Luc G Elliot, Agnel Praveen Joseph, Tom Burnley, Kyle Stevenson, Filomeno Sánchez Rodríguez, Maria Fando, Eugene Krissinel, Stuart McNicholas, Daniel J Rigden, Ronan M Keegan
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引用次数: 0

摘要

随着下一代建模方法(如AlphaFold2)的出现,结构生物学家越来越多地使用预测结构来通过分子替代(MR)或单粒子低温样品电子显微镜(cryogenic sample electron microscopy, cryoEM)中的模型拟合来获得结构解。在使用预测模型时,在预测模型中表示的域-域取向与晶体结构之间的差异通常是一个关键的限制。Slice'N'Dice是一款旨在解决这一问题的软件包,它首先将模型切片成不同的结构单元,然后使用Phaser、MOLREP或PowerFit自动放置切片。切片步骤可以使用AlphaFold预测对齐误差(PAE),也可以通过各种基于c α-原子的聚类算法进行操作,从而扩展了对任何起源结构的适用性。分割的数量可以由用户选择,也可以自动确定。Slice'N'Dice在CCP4和CCP-EM软件套件中可用于MR和自动地图拟合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Slice'N'Dice: maximizing the value of predicted models for structural biologists.

With the advent of next-generation modelling methods, such as AlphaFold2, structural biologists are increasingly using predicted structures to obtain structure solutions via molecular replacement (MR) or model fitting in single-particle cryogenic sample electron microscopy (cryoEM). Differences between the domain-domain orientations represented in a predicted model and a crystal structure are often a key limitation when using predicted models. Slice'N'Dice is a software package designed to address this issue by first slicing models into distinct structural units and then automatically placing the slices using either Phaser, MOLREP or PowerFit. The slicing step can use the AlphaFold predicted aligned error (PAE) or can operate via a variety of Cα-atom-based clustering algorithms, extending the applicability to structures of any origin. The number of splits can either be selected by the user or determined automatically. Slice'N'Dice is available for both MR and automated map fitting in the CCP4 and CCP-EM software suites.

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来源期刊
Acta Crystallographica. Section D, Structural Biology
Acta Crystallographica. Section D, Structural Biology BIOCHEMICAL RESEARCH METHODSBIOCHEMISTRY &-BIOCHEMISTRY & MOLECULAR BIOLOGY
CiteScore
4.50
自引率
13.60%
发文量
216
期刊介绍: Acta Crystallographica Section D welcomes the submission of articles covering any aspect of structural biology, with a particular emphasis on the structures of biological macromolecules or the methods used to determine them. Reports on new structures of biological importance may address the smallest macromolecules to the largest complex molecular machines. These structures may have been determined using any structural biology technique including crystallography, NMR, cryoEM and/or other techniques. The key criterion is that such articles must present significant new insights into biological, chemical or medical sciences. The inclusion of complementary data that support the conclusions drawn from the structural studies (such as binding studies, mass spectrometry, enzyme assays, or analysis of mutants or other modified forms of biological macromolecule) is encouraged. Methods articles may include new approaches to any aspect of biological structure determination or structure analysis but will only be accepted where they focus on new methods that are demonstrated to be of general applicability and importance to structural biology. Articles describing particularly difficult problems in structural biology are also welcomed, if the analysis would provide useful insights to others facing similar problems.
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