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DERIVING PROTEIN STRUCTURE TOPOLOGY FROM THE HELIX SKELETON IN LOW RESOLUTION DENSITY MAP USING ROSETTA

机译:使用Rosetta从螺旋骨架中衍生蛋白质结构拓扑。

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Electron cryo-microscopy (cryo-EM) is an experimental technique to determine the 3-dimensional structure for large protein complexes. Currently this technique is able to generate protein density maps at 6 to 9 A resolution. Although secondary structures such as a-helix and p-sheet can be visualized from these maps, there is no mature approach to deduce their tertiary topology, the linear order of the secondary structures on the sequence. The problem is challenging because given N secondary structureelements, the number of possible orders is (2~N)*N! We have developed a method to predict the topology of the secondary structures using ab initio structure prediction. The Rosetta structure prediction algorithm was used to make purely sequence based structure predictions for the protein. We produced 1000 of these ab initio models, and then screened the models produced by Rosetta for agreement with the helix skeleton derived from the density map. The method was benchmarked on 60 mainly alpha helical proteins, finding that for about 3/4 of all the proteins, the majority of the helices in the skeleton were correctly assigned by one of the top 10 suggested topologies from the method, while for about 1/3 of all the proteins the best topology assignment without errors was ranked the first. This approach also provides an estimate of the sequence alignment of the skeleton. For most of those true-positive assignments, the alignment was accurate to within +/- 2 amino acids in the sequence.
机译:电子冷冻显微镜(Cryo-EM)是一种确定大蛋白质复合物的三维结构的实验技术。目前,该技术能够在6至9分辨率下产生蛋白质密度图。尽管可以从这些地图可视化诸如A-Helix和P纸的二次结构,但是没有成熟的方法来推导其第三拓扑,序列上的二次结构的线性顺序。问题是具有挑战性的,因为给定了第二个次要struiteLements,可能订单的数量是(2〜n)* n!我们开发了一种方法来预测使用AB Initio结构预测来预测二次结构的拓扑。 Rosetta结构预测算法用于纯粹基于序列的蛋白质的结构预测。我们生产了1000个这些AB Initio模型,然后筛选了Rosetta生产的模型与源自密度图源的螺旋骨架协议。该方法主要是60α螺旋蛋白的基准测试,发现约3/4的所有蛋白质,骨架中的大部分螺旋由该方法中的一个前10名建议的拓扑结构正确分配,而约1 / 3的所有蛋白质最好的拓扑分配没有错误排名第一。该方法还提供了骨骼序列对准的估计。对于大多数真正的阳性作业,对准在序列中的+/- 2个氨基酸内是准确的。

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