MobiDB-lite: fast and highly specific consensus prediction of intrinsic disorder in proteins | Zendy

Marco Necci | Zendy; Damiano Piovesan | Zendy; Zsuzsanna Dosztányi | Zendy; Silvio C. E. Tosatto | Zendy

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MobiDB-lite: fast and highly specific consensus prediction of intrinsic disorder in proteins

Author(s) -

Marco Necci,

Damiano Piovesan,

Zsuzsanna Dosztányi,

Silvio C. E. Tosatto

Publication year - 2017

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/btx015

Subject(s) - executable , annotation , computer science , spurious relationship , data mining , proteome , feature (linguistics) , machine learning , artificial intelligence , bioinformatics , biology , programming language , linguistics , philosophy

Intrinsic disorder (ID) is established as an important feature of protein sequences. Its use in proteome annotation is however hampered by the availability of many methods with similar performance at the single residue level, which have mostly not been optimized to predict long ID regions of size comparable to domains.

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