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Modeling Macromolecular Machines Using Rigid-Cluster Networks

机译:使用刚性集群网络建模大分子机器

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Many macromolecules consist of domains which act more or less as rigid bodies during large conformational changes. These collective motions are thought to be strongly related with the functions of a system. This fact encourages us to model a biomolecular structure as a set of rigid clusters which are interconnected with distance constraints. In this way the intermediate conformations in an anharmonic pathway can be determined by the translational and rotational displacements of large clusters in such a way that steric constraints are observed. In this paper, we present a geometry-based interpolation technique called rigid-cluster interpolation. This is an extension of the coarse-grained elastic network interpolation (ENI) method that we previously developed to generate physically realistic pathways between two different conformations of a macromolecule. We present the derivation of the rigid-cluster model and apply it to various “macromolecular machines”. Simulation results show that this method generates sterically feasible pathways of large systems in a very short time. The computational cost of the interpolation does not scale heavily with the size of structures, but rather depends strongly on the number of rigid-clusters.
机译:许多大分子包括在大构象变化期间或多或少的刚性体上的域组成。这些集体动作被认为与系统的功能密切相关。这一事实鼓励我们将生物分子结构模拟为一组刚性簇,其与距离约束相互连接。以这种方式,无臂途径中的中间构象可以通过大簇的平移和旋转位移来确定,使得观察到空间约束。在本文中,我们介绍了一种称为刚性簇插值的几何形状的插值技术。这是我们之前开发的粗粒的弹性网络插值(ENI)方法的延伸,以在宏摩擦的两种不同构象之间产生物理上现实的途径。我们介绍了刚性簇模型的推导,并将其应用于各种“大分子机器”。仿真结果表明,该方法在很短的时间内产生大型系统的空间可行途径。插值的计算成本不会随着结构的大小而衡量,但相当依赖于刚性簇的数量。

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