We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
MobiDB-lite 3.0: fast consensus annotation of intrinsic disorder flavors in proteins.
- Authors
Necci, Marco; Piovesan, Damiano; Clementel, Damiano; Dosztányi, Zsuzsanna; Tosatto, Silvio C E
- Abstract
Motivation 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. Results MobiDB-lite 3.0 maintains its previous speed and performance but also provides a finer classification of disorder by identifying regions with characteristics of polyolyampholytes, positive or negative polyelectrolytes, low-complexity regions or enriched in cysteine, proline or glycine or polar residues. Subregions are abundantly detected in IDRs of the human proteome. The new version of MobiDB-lite represents a new step for the proteome level analysis of protein disorder. Availability and implementation Both the MobiDB-lite 3.0 source code and a docker container are available from the GitHub repository: https://github.com/BioComputingUP/MobiDB-lite
- Subjects
PROTEOMICS; PROTEINS; PROTEIN analysis; SOURCE code; ANNOTATIONS; GLYCINE receptors
- Publication
Bioinformatics, 2020, Vol 36, Issue 22/23, p5533
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/btaa1045