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首页> 外文期刊>Journal of Mechanisms and Robotics: Transactions of the ASME >Structural Compliance Analysis and Internal Motion Properties of Proteins From a Robot Kinematics Perspective: Formulation of Basic Equations
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Structural Compliance Analysis and Internal Motion Properties of Proteins From a Robot Kinematics Perspective: Formulation of Basic Equations

机译:从机器人运动学的角度看蛋白质的结构顺应性分析和内部运动特性:基本方程的表示

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From a perspective of robot kinematics, we develop a method for predicting internal motion properties and understanding the functions of proteins from their three-dimensional (3D) structural data (protein data bank (PDB) data). The key ideas are based on the structural compliance analysis of proteins. In this paper, we mainly discuss the basic equations for the analysis. First, a kinematic model of a protein is introduced. Proteins are simply modeled as serial manipulators constrained by linear springs, where the dihedral angles on the main chains correspond to the joint angles of manipulators. Then, the kinematic equations of the protein model are derived. In particular, the forced response or the deformation caused by the forces in static equilibrium forms the basis for the structural compliance analysis. In the formulations, the protein models are regarded as manipulators that control the positions in the model or the distances between them, by the dihedral angles on the main chains. Next, the structural compliance of the protein model is defined, and a method for extracting the information about the internal motion properties from the structural compliance is shown. In general, the structural compliance refers to the relationship between the applied forces and the deformation of the parts surrounded by the application points. We define it in a more general form by separating the parts whose deformations are evaluated from those where forces are applied. When decomposing motion according to the magnitude of the structural compliance, we can infer that the lower compliance motion will easily occur. Finally, we show two application examples using PDB data of lactoferrin and hemoglobin. Despite using an approximate protein model, the predicted internal motion properties agree with the measured ones.
机译:从机器人运动学的角度出发,我们开发了一种预测内部运动特性并从其三维(3D)结构数据(蛋白质数据库(PDB)数据)理解蛋白质功能的方法。关键思想基于蛋白质的结构顺应性分析。在本文中,我们主要讨论分析的基本方程式。首先,介绍蛋白质的运动学模型。简单地将蛋白质建模为受线性弹簧约束的串联操纵器,其中主链上的二面角对应于操纵器的关节角。然后,导出蛋白质模型的运动学方程。尤其是,静态平衡中的力引起的强制响应或变形构成了结构顺应性分析的基础。在配方中,蛋白质模型被视为通过主链上的二面角来控制模型中位置或它们之间的距离的操纵器。接下来,定义蛋白质模型的结构顺应性,并显示一种用于从结构顺应性中提取有关内部运动特性的信息的方法。通常,结构柔度是指施加力与被施加点围绕的零件的变形之间的关系。通过将评估变形的部分与施加力的部分分开,我们以更一般的形式定义它。当根据结构柔度的大小分解运动时,我们可以推断出较低柔度运动将很容易发生。最后,我们展示使用乳铁蛋白和血红蛋白的PDB数据的两个应用示例。尽管使用了近似的蛋白质模型,但预测的内部运动特性与测量的内部运动特性一致。

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