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Prediction of Protein-Protein Interaction Sites Combing Sequence Profile and Hydrophobic Information

机译:结合序列图谱和疏水信息的蛋白质-蛋白质相互作用位点的预测

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Identification of the residues in protein-protein interaction sites has an important impact in a lot of biological problems. We propose an extra-trees method to identify protein interaction sites in hetero-complexes by combing profile and hydrophobic information based on extra-trees. The efficiency and the effectiveness of our proposed approach are verified by its better prediction performance compared with other methods. The experiment is performed on the 1250 non-redundant protein chains. Without using any structure data, we only use profile and a binary profile hydrophobic attribute as input vectors.
机译:蛋白质-蛋白质相互作用位点中残基的鉴定对许多生物学问题具有重要影响。我们提出了一种额外树方法,通过结合基于额外树的分布图和疏水性信息来识别异质复合物中的蛋白质相互作用位点。与其他方法相比,我们提出的方法的效率和有效性通过其更好的预测性能得到了验证。实验是在1250条非冗余蛋白链上进行的。在不使用任何结构数据的情况下,我们仅使用轮廓和二元轮廓疏水属性作为输入向量。

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