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- W2060503830 abstract "Knowledge of protein-protein interaction sites is vital to determine proteins' function and involvement in different pathways. Though a wide variety of methods has been proposed over the recent years in order to predict protein-protein interface residues, mainly based on single amino acid sequence inputs, each has its own drawbacks and limitations. We propose to use Support Vector Machines (SVM) to predict protein-protein interface residues by using the information derived from the position-specific scoring matrices (PSSMs) generated from PSI-BLAST profiles and accessible surface areas. The present approach achieved overall prediction accuracy of 73.8% for 77 individulal proteins collected from the Protein Data Bank, which is better than the previously reported accuracies." @default.
- W2060503830 created "2016-06-24" @default.
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- W2060503830 date "2006-09-01" @default.
- W2060503830 modified "2023-09-23" @default.
- W2060503830 title "Protein-Protein Interface Residue Prediction with SVM Using Evolutionary Profiles and Accessible Surface Areas" @default.
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- W2060503830 doi "https://doi.org/10.1109/cibcb.2006.331008" @default.
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