MoRFPred en Sequence-based prediction of MoRFs using an ensemble learning strategy
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资源说明:Molecular recognition features (MoRFs) usually act as “hub” sites in the interaction networks of intrinsically disordered proteins. Because an increasing number of serious diseases have been found to be associated with disordered proteins, identifying MoRFs has become increasingly important. In this study, we propose an ensemble learning strategy, named MoRFPred_en, to predict MoRFs from protein sequences. This approach combines four submodels that utilize different sequence-derived features for
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