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Docking of protein molecular surfaces with evolutionary trace analysis.

机译:蛋白质分子表面的对接与进化痕量分析。

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We have developed a new method to predict protein- protein complexes based on the shape complementarity of the molecular surfaces, along with sequence conservation obtained by evolutionary trace (ET) analysis. The docking is achieved by optimization of an object function that evaluates the degree of shape complementarity weighted by the conservation of the interacting residues. The optimization is carried out using a genetic algorithm in combination with Monte Carlo sampling. We applied this method to CAPRI targets and evaluated the performance systematically. Consequently, our method could achieve native-like predictions in several cases. In addition, we have analyzed the feasibility of the ET method for docking simulations, and found that the conservation information was useful only in a limited category of proteins (signal related proteins and enzymes).
机译:我们已经开发了一种基于分子表面形状互补性以及通过进化跟踪(ET)分析获得的序列保守性来预测蛋白质-蛋白质复合物的新方法。对接是通过优化对象函数来实现的,该对象函数通过相互作用残基的保守性评估加权的形状互补程度。使用遗传算法结合蒙特卡洛采样进行优化。我们将此方法应用于CAPRI目标,并系统地评估了性能。因此,我们的方法可以在几种情况下实现类似本机的预测。此外,我们分析了ET方法进行对接模拟的可行性,发现保护信息仅在有限种类的蛋白质(与信号相关的蛋白质和酶)中有用。

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