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If the work meets this target, players will be presented with more advanced images and tasks, such as the classification of protein patterns in complex tumor-tissue samples.
Classification of protein folds.
Many modern applications in fact, also require this formulation such as classification of protein functions and semantic scenes [26].
Classification of protein sequences has important applications in areas such as disease diagnosis, treatment development and drug design.
Discriminative and informative feature extraction is the core requirement for accurate and efficient classification of protein subcellular localization images so that drug development could be more effective.
In their pioneering work, Hanks and Hunter presented the first classification of protein kinase subfamily [25].
Protein domains are the most commonly used static features for classification of protein interactions.
Despite these problems, metagenomics offers a fresh view of the protein universe and classification of protein families.
We used the SCOP classification [16], which is a hierarchical classification of protein structures, for this task.
Detailed comparison of protein-protein interfaces is fundamental for their better characterization and for structure-based classification of protein complexes.
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Next, the similarity measure is applied to a set of 2,806×2,806 binary complex pairs to build a hierarchical classification of protein-protein interactions.
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