BACKGROUND: Intrinsic protein disorder is becoming an increasingly important 
topic in protein science. During the last few years, intrinsically disordered 
proteins (IDPs) have been shown to play a role in many important biological 
processes, e.g. protein signalling and regulation. This has sparked a need to 
better understand and characterize different types of IDPs, their functions and 
roles. Our recently published database, MobiDB, provides a centralized resource 
for accessing and analysing intrinsic protein disorder annotations.
RESULTS: Here, we present a thorough description and analysis of the data made 
available by MobiDB, providing descriptive statistics on the various available 
annotation sources. Version 1.2.1 of the database contains annotations for ca. 
4,500,000 UniProt sequences, covering all eukaryotic proteomes. In addition, we 
describe a novel consensus annotation calculation and its related weighting 
scheme. The comparison between disorder information sources highlights how the 
MobiDB consensus captures the main features of intrinsic disorder and correlates 
well with manually curated datasets. Finally, we demonstrate the annotation of 
13 eukaryotic model organisms through MobiDB's datasets, and of an example 
protein through the interactive user interface.
CONCLUSIONS: MobiDB is a central resource for intrinsic disorder research, 
containing both experimental data and predictions. In the future it will be 
expanded to include additional information for all known proteins.