NOXclass: prediction of protein-protein interaction types. Results: Six interface properties have been investigated on a dataset of 243 protein interactions. The six properties have been combined using a support vector machine algorithm, resulting in NOXclass, a classifier for distinguishing obligate, non-obligate and crystal packing interactions. We achieve an accuracy of 91.8% for the classification of these three types of interactions using a leave-one-out cross-validation procedure. Conclusion: NOXclass allows the interpretation and analysis of protein quaternary structures. In particular, it generates testable hypotheses regarding the nature of protein-protein interactions, when experimental results are not available. We expect this server will benefit the users of protein structural models, as well as protein crystallographers and NMR spectroscopists. A web server based on the method and the datasets used in this study are available at http://noxclass.bioinf.mpi-inf.mpg.de/.
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
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- Teyra, Joan; Paszkowski-Rogacz, Maciej; Anders, Gerd; Pisabarro, M. Teresa: SCOWLP classification: Structural comparison and analysis of protein binding regions (2008) ioport