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High-Throughput Simulations of Dimer and Trimer Assembly of Membrane Proteins. The DAFT Approach

机译:膜蛋白二聚体和三聚体组装的高通量模拟。 DAFT方法

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Interactions between membrane proteins are of great biological significance and are consequently an important target for pharmacological intervention. Unfortunately, it is still difficult to obtain detailed views on such interactions, both experimentally, where the environment hampers atomic resolution investigation, and computationally, where the time and length scales are problematic. Coarse grain simulations have alleviated the later issue, but the slow movement through the bilayer, coupled to the long life times of nonoptimal dimers, still stands in the way of characterizing binding distributions. In this work, we present DAFT, a Docking Assay For Transmembrane components, developed to identify preferred binding orientations. The method builds on a program developed recently for generating custom membranes, called insane (INSert membrANE). The key feature of DAFT is the setup of starting structures, for which optimal periodic boundary conditions are devised. The purpose of DAFT is to perform a large number of simulations with different components, starting from unbiased noninteracting initial states, such that the simulations evolve collectively, in a manner reflecting the underlying energy landscape of interaction. The implementation and characteristic features of DAFT are explained, and the efficacy and relaxation properties of the method are explored for oligomerization of glycophorin A dimers, polyleucine dimers and trimers, MS1 trimers, and rhodopsin dimers. The results suggest that, for simple helices, such as GpA and polyleucine, in POPC/DOPC membranes series of 500 simulations of 500 ns each allow characterization of the helix dimer orientations and allow comparing associating and nonassociating components. However, the results also demonstrate that short simulations may suffer significantly from nonconvergence of the ensemble and that using too few simulations may obscure or distort features of the interaction distribution. For trimers, simulation times exceeding several microseconds appear needed, due to the increased complexity. Similarly, characterization of larger proteins, such as rhodopsin, takes longer time scales due to the slower diffusion and the increased complexity of binding interfaces. DAFT and its auxiliary programs have been made available from http://cgmartini.nl/, together with a working example.
机译:膜蛋白之间的相互作用具有重要的生物学意义,因此是药理干预的重要目标。不幸的是,无论是在实验上(环境阻碍原子分辨率研究)还是在计算上(时间和长度尺度都成问题),仍然很难获得有关此类相互作用的详细视图。粗粒模拟缓解了后面的问题,但是穿过双层的缓慢运动以及不理想的二聚体的长寿命仍然阻碍了结合分布的表征。在这项工作中,我们提出了DAFT,这是一种跨膜组件的对接分析方法,旨在确定优选的结合方向。该方法建立在最近开发的用于生成定制膜的程序上,该程序称为insane(INSert membrANE)。 DAFT的关键特征是启动结构的设置,为此设计了最佳的周期性边界条件。 DAFT的目的是从无偏的非相互作用初始状态开始,执行具有不同成分的大量仿真,以使仿真以反映相互作用的潜在能量格局的方式共同发展。解释了DAFT的实现和特征,并探讨了该方法对糖蛋白A二聚体,聚亮氨酸二聚体和三聚体,MS1三聚体和视紫红质二聚体的寡聚化的功效和松弛特性。结果表明,对于简单的螺旋,例如GpA和聚亮氨酸,在POPC / DOPC膜中进行500 ns的500次模拟,每个序列都能表征螺旋二聚体的取向,并能比较缔合和非缔合的组分。但是,结果还表明,简短的仿真可能会因整体的不收敛而遭受很大的损失,并且使用太少的仿真可能会掩盖或扭曲交互分布的特征。对于三聚物,由于复杂性的增加,需要超过几微秒的仿真时间。同样,较大的蛋白质(如视紫红质)的表征由于扩散速度较慢和结合界面的复杂性而花费较长的时间。可以从http://cgmartini.nl/获得DAFT及其辅助程序,以及一个可用的示例。

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