How disordered is my protein and what is its disorder for? A guide through the 'dark side' of the protein universe
- Resource Type
- Authors
- François Ferron; Lukasz Kurgan; Alexey V. Uversky; Philippe Lieutaud; Vladimir N. Uversky; Sonia Longhi
- Source
- Intrinsically Disordered Proteins
Intrinsically Disordered Proteins, 2016, 4 (1), pp.e1259708. ⟨10.1080/21690707.2016.1259708⟩
- Subject
- 0301 basic medicine
030102 biochemistry & molecular biology
intrinsically disordered regions
[SDV]Life Sciences [q-bio]
Protein domain
intrinsic disorder
induced folding
Computational biology
Biology
Intrinsically disordered proteins
Bioinformatics
Industrial and Manufacturing Engineering
disorder databases and metaservers
Folding (chemistry)
03 medical and health sciences
Methods and Technical Advances
030104 developmental biology
Functional annotation
Prediction methods
prediction methods
Identification (biology)
Computational analysis
intrinsically disordered proteins
Universe (mathematics)
- Language
- ISSN
- 2169-0693
2169-0707
International audience; In the last 2 decades it has become increasingly evident that a large number of proteins are either fully or partially disordered. Intrinsically disordered proteins lack a stable 3D structure, are ubiquitous and fulfill essential biological functions. Their conformational heterogeneity is encoded in their amino acid sequences, thereby allowing intrinsically disordered proteins or regions to be recognized based on properties of these sequences. The identification of disordered regions facilitates the functional annotation of proteins and is instrumental for delineating boundaries of protein domains amenable to structural determination with X-ray crystallization. This article discusses a comprehensive selection of databases and methods currently employed to disseminate experimental and putative annotations of disorder, predict disorder and identify regions involved in induced folding. It also provides a set of detailed instructions that should be followed to perform computational analysis of disorder.