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Knowledge of structural classes is useful in understanding of folding patterns in proteins. Although numerous methods were proposed and achieved promising results in structural class prediction, some problems in using protein-sequence information have impeded the development. In this paper, a combined representation of protein-sequence information is proposed for prediction of protein structural class,...
Knowledge about protein's structure can help in understanding its function and has many applications in computer-aided drug design and protein engineering. In this paper we introduce a new methodology for predicting protein structural class using Emerging Subsequences (ES). In a sequence database, an emerging subsequence of data class is a subsequence which occurs more frequently in that class rather...
Protein sequence analysis is an important task in bioinformatics. The classification of protein sequences into groups is beneficial for further analysis of the structures and roles of a particular group of protein in biological process. It also allows an unknown or newly found sequence to be identified by comparing it with protein groups that have already been studied. In this paper, we present the...
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