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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Structure alignment-based classification of RNA-binding pockets reveals regional RNA recognition motifs on protein surfaces

Fig. 1

The framework for identifying structural RNA-binding motifs via pocket similarity network. 1 The RNA-binding pockets in proteins are extracted and collected from RBPs. 2 The pocket similarity network is constructed based on the similarities among these pockets calculated by our structure alignment algorithm SAMO. 3 The RNA-binding pockets are clustered into small groups with similar structures by decomposing the pocket similarity network into subnetwork modules via a community detection method. 4 The RNA-binding structure motifs and sequence patterns underlying the similar pocket groups are identified and analyzed

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