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

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  1. Chen, Wei; Zhang, Shao-Wu; Cheng, Yong-Mei; Pan, Quan: Prediction of protein-protein interaction types using the decision templates based on multiple classier fusion (2010)
  2. Liu, Qian; Li, Jinyan: Protein binding hot spots and the residue-residue pairing preference: a water exclusion perspective (2010) ioport
  3. Teyra, Joan; Paszkowski-Rogacz, Maciej; Anders, Gerd; Pisabarro, M. Teresa: SCOWLP classification: Structural comparison and analysis of protein binding regions (2008) ioport