Islam Tunazzina, Poteat Michael, He Jing
Department of Computer Science, Old Dominion University , Norfolk, Virginia.
J Comput Biol. 2018 Jan;25(1):114-120. doi: 10.1089/cmb.2017.0174.
Since the discovery of right-handed twist of a β-strand, many studies have been conducted to understand the twist. Given the atomic structure of a protein, twist angles have been defined using atomic positions of the backbone. However, limited study is available to characterize twist when the atomic positions are not available, but the central lines of β-strands are. Recent studies in cryoelectron microscopy show that it is possible to predict the central lines of β-strands from a medium-resolution density map. Accurate measurement of twist angles is important in identification of β-strands from such density maps. We propose an effective method to quantify twist angles from a set of splines. In a data set of 55 pairs of β-strands from 11 β-sheets of 11 proteins, the spline measurement shows comparable results as measured using the discrete method that uses atomic positions directly, particularly in capturing twist angle change along a pair, different levels of twist among different pairs, and the average of twist angles. The proposed method provides an alternative method to characterize twist using the central lines of a β-sheet.
自从发现β-链的右手扭转以来,已经开展了许多研究来了解这种扭转。根据蛋白质的原子结构,扭转角是利用主链的原子位置来定义的。然而,当无法获得原子位置但能获得β-链的中心线时,用于表征扭转的研究却很有限。最近的冷冻电子显微镜研究表明,从中等分辨率的密度图预测β-链的中心线是可能的。从这种密度图识别β-链时,准确测量扭转角很重要。我们提出了一种从一组样条量化扭转角的有效方法。在来自11种蛋白质的11个β-折叠的55对β-链的数据集里,样条测量显示出与直接使用原子位置的离散方法测量的结果相当,特别是在捕捉沿一对β-链的扭转角变化、不同对之间的不同扭转水平以及扭转角的平均值方面。所提出的方法提供了一种利用β-折叠的中心线来表征扭转的替代方法。