Abstract
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.
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Peng, L., Chen, F., Zhou, N., Chen, P., Zhang, J., Wang, B. (2018). Prediction of Protein-Protein Interaction Sites Combing Sequence Profile and Hydrophobic Information. In: Huang, DS., Bevilacqua, V., Premaratne, P., Gupta, P. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science(), vol 10954. Springer, Cham. https://doi.org/10.1007/978-3-319-95930-6_70
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DOI: https://doi.org/10.1007/978-3-319-95930-6_70
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