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Evaluating template-based and template-free protein–protein complex structure prediction

机译:评估基于模板和无模板的蛋白质-蛋白质复合物结构预测

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摘要

We compared the performance of template-free (docking) and template-based methods for the prediction of protein–protein complex structures. We found similar performance for a template-based method based on threading (COTH) and another template-based method based on structural alignment (PRISM). The template-based methods showed similar performance to a docking method (ZDOCK) when the latter was allowed one prediction for each complex, but when the same number of predictions was allowed for each method, the docking approach outperformed template-based approaches. We identified strengths and weaknesses in each method. Template-based approaches were better able to handle complexes that involved conformational changes upon binding. Furthermore, the threading-based and docking methods were better than the structural-alignment-based method for enzyme–inhibitor complex prediction. Finally, we show that the near-native (correct) predictions were generally not shared by the various approaches, suggesting that integrating their results could be the superior strategy.
机译:我们比较了无模板(对接)和基于模板的方法对蛋白质-蛋白质复杂结构的预测性能。我们发现基于线程的基于模板的方法(COTH)和基于结构对齐的另一种基于模板的方法(PRISM)的性能相似。当允许对每个复合物进行一个预测时,基于模板的方法表现出与对接方法(ZDOCK)相似的性能,但是当对每种方法允许相同数量的预测时,对接方法的性能优于基于模板的方法。我们确定了每种方法的优点和缺点。基于模板的方法能够更好地处理结合时涉及构象变化的复合物。此外,用于酶抑制剂复合物预测的基于线程和对接的方法优于基于结构排列的方法。最后,我们表明,各种方法通常不会共享近乎自然(正确)的预测,这表明将其结果整合可能是更好的策略。

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