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Protein self-interaction, i.e. the interaction between two or more identical proteins expressed by one gene, plays an important role in the regulation of cellular functions. Considering the limitations of experimental self-interaction identification, it is necessary to design specific bioinformatics tools for self-interacting protein (SIP) prediction from protein sequence information.
(Lin et al., 2016) SPAR: a random forest-based predictor for self-interacting proteins with fine-grained domain information. Amino Acids.