The SBASE domain sequence resource, release 12: prediction of protein domain-architecture using support vector machines

By Kristian Vlahovicek, László Kaján, Vilmos Ágoston, Sándor Pongor. 2004

200 citations recorded by the source corpus.

SBASE (http://www.icgeb.trieste.it/sbase) is an online resource designed to facilitate the detection of domain homologies based on sequence database search. The present release of the SBASE A library of protein domain sequences contains 972 397 protein sequence segments annotated by structure, function, ligand-binding or cellular topology, clustered into 8547 domain groups. SBASE B contains 169 916 domain sequences clustered into 2526 less well-characterized groups. Domain prediction is based on an evaluation of database search results in comparison with a ‘similarity network’ of inter-sequence similarity scores, using support vector machines trained on similarity search results of known domains.

Subfields: Molecular Biology

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Citations in the corpus

Universality, Characteristic Kernels and RKHS Embedding of Measures (2010, methodology): “See Carmeli et al. (2009, Corollary 5), Steinwart and Christmann (2008, Proposition 4.54, Example 4.11) and Sriperumbudur et al. (2009b, Footnote 4).”
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