Many proteins are highly modular, being assembled from globular domains and segments of natively disordered polypeptides. Linear motifs, short sequence modules functioning independently of protein tertiary structure, are most abundant in natively disordered polypeptides but are also found in accessible parts of globular domains, such as exposed loops. The prediction of novel occurrences of known linear motifs attempts the difficult task of distinguishing functional matches from stochastically occurring non-functional matches. Although functionality can only be confirmed experimentally, confidence in a putative motif is increased if a motif exhibits attributes associated with functional instances such as occurrence in the correct taxonomic range, cellular compartment, conservation in homologues and accessibility to interacting partners. Several tools now use these attributes to classify putative motifs based on confidence of functionality.

Via, A., Gould, C., Gemünd, C., Gibson, T., HELMER CITTERICH, M. (2009). A structure filter for the Eukaryotic Linear Motif Resource. BMC BIOINFORMATICS, 10, 351 [10.1186/1471-2105-10-351].

A structure filter for the Eukaryotic Linear Motif Resource

HELMER CITTERICH, MANUELA
2009-10-24

Abstract

Many proteins are highly modular, being assembled from globular domains and segments of natively disordered polypeptides. Linear motifs, short sequence modules functioning independently of protein tertiary structure, are most abundant in natively disordered polypeptides but are also found in accessible parts of globular domains, such as exposed loops. The prediction of novel occurrences of known linear motifs attempts the difficult task of distinguishing functional matches from stochastically occurring non-functional matches. Although functionality can only be confirmed experimentally, confidence in a putative motif is increased if a motif exhibits attributes associated with functional instances such as occurrence in the correct taxonomic range, cellular compartment, conservation in homologues and accessibility to interacting partners. Several tools now use these attributes to classify putative motifs based on confidence of functionality.
24-ott-2009
Pubblicato
Rilevanza internazionale
Articolo
Sì, ma tipo non specificato
Settore BIO/11 - BIOLOGIA MOLECOLARE
English
Con Impact Factor ISI
Computational Biology; Peptides; Eukaryota; Protein Conformation; Amino Acid Motifs; Software; Proteins; Databases, Protein
http://www.biomedcentral.com/1471-2105/10/351
Via, A., Gould, C., Gemünd, C., Gibson, T., HELMER CITTERICH, M. (2009). A structure filter for the Eukaryotic Linear Motif Resource. BMC BIOINFORMATICS, 10, 351 [10.1186/1471-2105-10-351].
Via, A; Gould, C; Gemünd, C; Gibson, T; HELMER CITTERICH, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/15139
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