Protein function annotation by homology-based inference View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-02

AUTHORS

Yaniv Loewenstein, Domenico Raimondo, Oliver C Redfern, James Watson, Dmitrij Frishman, Michal Linial, Christine Orengo, Janet Thornton, Anna Tramontano

ABSTRACT

With many genomes now sequenced, computational annotation methods to characterize genes and proteins from their sequence are increasingly important. The BioSapiens Network has developed tools to address all stages of this process, and here we review progress in the automated prediction of protein function based on protein sequence and structure.

PAGES

207

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/gb-2009-10-2-207

DOI

http://dx.doi.org/10.1186/gb-2009-10-2-207

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040399255

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19226439


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