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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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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-basedmethod based on structural alignment (PRISM).The template-basedmethods 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)和基于模板的方法预测蛋白质-蛋白质复杂结构的性能,发现基于线程(COTH)的基于模板的方法和基于结构的基于模板的方法的性能相似比对(PRISM)。当对每个复合物允许一个预测时,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对接方法方法。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,基于线程和对接的方法优于基于结构排列的方法的酶抑制剂复合物预测。最后,我们表明,各种方法通常不会共享近乎自然的(正确的)预测,这表明整合其结果可能是更好的策略。

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