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MobiDB-lite 3.0: fast consensus annotation of intrinsic disorder flavors in proteins
Author(s) -
Marco Necci,
Damiano Piovesan,
Damiano Clementel,
Zsuzsanna Dosztányi,
Silvio C. E. Tosatto
Publication year - 2020
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/btaa1045
Subject(s) - proteome , annotation , intrinsically disordered proteins , source code , computer science , computational biology , human proteome project , container (type theory) , biology , bioinformatics , artificial intelligence , proteomics , biochemistry , materials science , programming language , gene , composite material
The earlier version of MobiDB-lite is currently used in large-scale proteome annotation platforms to detect intrinsic disorder. However, new theoretical models allow for the classification of intrinsically disordered regions into subtypes from sequence features associated with specific polymeric properties or compositional bias.

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