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An isometry-invariant spectral approach for protein-protein docking

机译:蛋白质对接的等距不变光谱方法

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The protein docking problem refers to the task of predicting the appropriate matching of one protein molecule (the receptor) to another (the ligand), when attempting to bind them to form a stable complex. Research shows that matching the three-dimensional geometric structures of proteins plays a key role in determining a so-called docking pair. However, the active sites which are responsible for the binding do not always present a rigid-body shape matching problem. Rather, they may undergo deformations when docking occurs, which complicates the process. To address this issue, we present an isometry-invariant and topologically robust partial shape descriptor method for finding complementary protein sites. Our method employs Heat Kernel Signature shape descriptors which are based on the diffusion of heat on surfaces. Our experimental results against the ProteinProtein Benchmark 4.0 demonstrate the viability of our approach.
机译:蛋白质对接问题是指当试图将一种蛋白质分子(受体)与另一种蛋白质分子(配体)结合形成稳定的复合物时,预测其正确匹配的任务。研究表明,匹配蛋白质的三维几何结构在确定所谓的对接中起关键作用。但是,负责结合的活性位点并不总是存在刚体形状匹配的问题。相反,它们在对接发生时可能会变形,从而使过程复杂化。为了解决这个问题,我们提出了一种等距不变且拓扑健壮的局部形状描述符方法,用于寻找互补的蛋白质位点。我们的方法采用了热核签名形状描述符,该描述符基于热量在表面上的扩散。我们针对ProteinProtein Benchmark 4.0的实验结果证明了我们方法的可行性。

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