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Currently, the size of biological databases has increased significantly with the growing number of users and the rate of queries where some databases are of terabyte size. Hence, there is an increasing need to access databases at the fastest possible rate. Where biologists are concerned, the need is more of a means to fast, scalable and accuracy searching in biological databases. This may seem to...
Protein methylation modification has been discovered for half a century but still far less been studied than other modifications. Computational analysis is recently introduced to discover other unknown methylation sites based on few known ones. To effectively predict possible methylation, sophisticated classification strategy should be well devised. In this paper, we first extracted informative features...
Proteins function through interactions with other proteins, compounds, RNA and DNA. Prediction of protein interface sites is the key process for providing clues to the function of a protein, and is becoming increasing relevant to drug discovery. In this paper, combining the protein features with the theory of granular computing of quotient space based on protein-protein interaction sites classification...
Normalized compression distance (NCD) is a compression based pairwise distance measure. NCD has been shown to perform well in different domains, such as music, biological sequence and text classification. In this study, we use NCD distance together with Smith-Waterman (SW) alignment scores of protein sequences for gene ontology prediction. We find out that, using secondary structure in addition to...
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