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2D Zernike polynomial expansion: Finding the protein-protein binding regions

机译:2D Zernike多项式扩张:找到蛋白质 - 蛋白质结合区域

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摘要

We present a method for efficiently and effectively assessing whether and where two proteins can interact with each other to form a complex. This is still largely an open problem, even for those relatively few cases where the 3D structure of both proteins is known. In fact, even if much of the information about the interaction is encoded in the chemical and geometric features of the structures, the set of possible contact patches and of their relative orientations are too large to be computationally affordable in a reasonable time, thus preventing the compilation of reliable interactome. Our method is able to rapidly and quantitatively measure the geometrical shape complementarity between interacting proteins, comparing their molecular iso-electron density surfaces expanding the surface patches in term of 2D Zernike polynomials. We first test the method against the real binding region of a large dataset of known protein complexes, reaching a success rate of 0.72. We then apply the method for the blind recognition of binding sites, identifying the real region of interaction in about 60% of the analyzed cases. Finally, we investigate how the efficiency in finding the right binding region depends on the surface roughness as a function of the expansion order.
机译:我们提出了一种有效和有效地评估两种蛋白质可以彼此相互作用以形成复杂的方法。这仍然很大程度上是一个公开的问题,即使对于那些相对较少的情况而言,这两个蛋白质的3D结构是已知的。实际上,即使有关相互作用的大部分信息在结构的化学和几何特征中编码,也可以在合理的时间内计算出可能的接触块​​和它们的相对取向太大,从而防止了汇编可靠的互联体。我们的方法能够快速和定量地测量相互作用蛋白之间的几何形状互补性,比较其分子ISO-电子密度表面在2D Zernike多项式的术语中膨胀表面贴片。我们首先将该方法与已知蛋白质复合物的大型数据集的实际结合区域进行测试,达到成功率为0.72。然后,我们应用用于盲识别结合位点的方法,识别在分析病例的约60%的约60%的相互作用区域。最后,我们调查如何找到右绑定区域的效率如何取决于作为膨胀顺序的函数的表面粗糙度。

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