Detection of alpha-rod protein repeats using a neural network and application to huntingtin

A growing number of solved protein structures display an elongated structural domain, denoted here as alpha-rod, composed of stacked pairs of anti-parallel alpha-helices. Alpha-rods are flexible and expose a large surface, which makes them suitable for protein interaction. Although most likely origi...

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Veröffentlicht in:PLoS computational biology 2009-03, Vol.5 (3), p.e1000304-e1000304
Hauptverfasser: Palidwor, Gareth A, Shcherbinin, Sergey, Huska, Matthew R, Rasko, Tamas, Stelzl, Ulrich, Arumughan, Anup, Foulle, Raphaele, Porras, Pablo, Sanchez-Pulido, Luis, Wanker, Erich E, Andrade-Navarro, Miguel A
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Sprache:eng
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Zusammenfassung:A growing number of solved protein structures display an elongated structural domain, denoted here as alpha-rod, composed of stacked pairs of anti-parallel alpha-helices. Alpha-rods are flexible and expose a large surface, which makes them suitable for protein interaction. Although most likely originating by tandem duplication of a two-helix unit, their detection using sequence similarity between repeats is poor. Here, we show that alpha-rod repeats can be detected using a neural network. The network detects more repeats than are identified by domain databases using multiple profiles, with a low level of false positives (
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1000304