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• W2912995673 abstract "We consider the problem of prediction of the interfaces of protein-protein interactions, a challenging problem with important applications in drug discovery and design. The standard machine learning approach is to attempt to predict the interface in its entirety. Because of the difficulty of the problem, we propose to treat the problem as a ranking problem and focus on getting at least a few correctly predicted interface residues in the top ranked predictions. Our results demonstrate that a simple linear model out-performs more complicated models that try to solve the corresponding classification problem. The source code is available at https://bitbucket.org/afrasiab/blrm." @default.
• W2912995673 created "2019-02-21" @default.
• W2912995673 creator A5005013902 @default.
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• W2912995673 date "2018-12-01" @default.
• W2912995673 modified "2023-09-25" @default.
• W2912995673 title "BLRM: A Basic Linear Ranking Model for Protein Interface Prediction" @default.
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• W2912995673 doi "https://doi.org/10.1109/bibm.2018.8621174" @default.
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