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ClusPro in rounds 38 to 45 of CAPRI: Toward combining template-based methods with free docking

机译:Cluspro在Capri的第38到45轮:朝着用免费对接结合基于模板的方法

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摘要

Targets in the protein docking experiment CAPRI (Critical Assessment of Predicted Interactions) generally present new challenges and contribute to new developments in methodology. In rounds 38 to 45 of CAPRI, most targets could be effectively predicted using template-based methods. However, the server ClusPro required structures rather than sequences as input, and hence we had to generate and dock homology models. The available templates also provided distance restraints that were directly used as input to the server. We show here that such an approach has some advantages. Free docking with template-based restraints using ClusPro reproduced some interfaces suggested by weak or ambiguous templates while not reproducing others, resulting in correct server predicted models. More recently we developed the fully automated ClusPro TBM server that performs template-based modeling and thus can use sequences rather than structures of component proteins as input. The performance of the server, freely available for noncommercial use at , is demonstrated by predicting the protein-protein targets of rounds 38 to 45 of CAPRI.
机译:蛋白质对接实验Capri的靶标(对预测的相互作用的关键评估)普遍存在新的挑战,并有助于方法论的新发展。在CAPRI的圆形38至45中,可以使用基于模板的方法有效地预测大多数目标。但是,服务器cluspro所需的结构而不是序列作为输入,因此我们必须生成和停靠同源模型。可用模板还提供了直接用作服务器输入的距离约束。我们在这里展示了这样的方法有一些优点。使用Cluspro的基于模板的限制免费停靠再现由弱或模糊模板建议的一些接口,同时不会再现其他界面,从而导致正确的服务器预测模型。最近我们开发了完成基于模板的建模的全自动CLUSPRO TBM服务器,因此可以使用序列而不是组件蛋白的结构作为输入。通过预测Capri的第38至45轮的蛋白质蛋白靶标,可以证明服务器的性能。

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