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Integrating multi-attribute similarity networks for robust representation of the protein space

Camoglu, Orhan
Can, Tolga
Singh, Ambuj K.
Motivation: A global view of the protein space is essential for functional and evolutionary analysis of proteins. In order to achieve this, a similarity network can be built using pairwise relationships among proteins. However, existing similarity networks employ a single similarity measure and therefore their utility depends highly on the quality of the selected measure. A more robust representation of the protein space can be realized if multiple sources of information are used.