ESpritz: accurate and fast prediction of protein disorder | Zendy

Ian Walsh | Zendy; Alberto J. M. Martín | Zendy; Tomás Di Domenico | Zendy; Silvio C. E. Tosatto | Zendy

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ESpritz: accurate and fast prediction of protein disorder

Author(s) -

Ian Walsh,

Alberto J. M. Martín,

Tomás Di Domenico,

Silvio C. E. Tosatto

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr682

Subject(s) - computer science , executable , false positive paradox , receiver operating characteristic , speedup , throughput , flexibility (engineering) , limit (mathematics) , data mining , artificial intelligence , machine learning , statistics , parallel computing , mathematics , programming language , telecommunications , mathematical analysis , wireless

Intrinsically disordered regions are key for the function of numerous proteins, and the scant available experimental annotations suggest the existence of different disorder flavors. While efficient predictions are required to annotate entire genomes, most existing methods require sequence profiles for disorder prediction, making them cumbersome for high-throughput applications.

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