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Protein function prediction via graph kernels

Borgwardt, Karsten; Ong, Cheng Song; Schoenauer, Stefan; Vishwanathan, S; Smola, Alexander; Kriegel, Hans-Peter


Motivation: Computational approaches to protein function prediction infer protein function by finding proteins with similar sequence, structure, surface clefts, chemical properties, amino acid motifs, interaction partners or phylogenetic profiles. We present a new approach that combines sequential, structural and chemical information into one graph model of proteins. We predict functional class membership of enzymes and non-enzymes using graph kernels and support vector machine classification...[Show more]

CollectionsANU Research Publications
Date published: 2005
Type: Journal article
Source: Bioinformatics
DOI: 10.1093/bioinformatics/bti1007


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