Honing the in silico toolkit for detecting protein disorder.
Not all proteins form well defined three-dimensional structures in their native states. Some amino-acid sequences appear to strongly favour the disordered state, whereas some can apparently transition between disordered and ordered states under the influence of changes in the biological environment, thereby playing an important role in processes such as signalling. Although important biologically, for the structural biologist disordered regions of proteins can be disastrous even preventing successful structure determination. The accurate prediction of disorder is therefore important, not least for directing the design of expression constructs so as to maximize the chances of successful structure determination. Such design criteria have become integral to the construct-design strategies of laboratories within the Structural Proteomics In Europe (SPINE) consortium. This paper assesses the current state of the art in disorder prediction in terms of prediction reliability and considers how best to use these methods to guide construct design. Finally, it presents a brief discussion as to how methods of prediction might be improved in the future.
Esnouf
Robert M
RM
Division of Structural Biology, University of Oxford, Wellcome Trust Centre for Human Genetics, Oxford, England. robert@strubi.ox.ac.uk
Hamer
R
R
Sussman
J L
JL
Silman
I
I
Trudgian
D
D
Yang
Z-R
ZR
Prilusky
Jaime
J
D000465:Algorithms; D019295:Computational Biology; D003198:Computer Simulation; D003625:Data Collection; D005544:Forecasting; D008961:Models, Structural; D011487:Protein Conformation; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry*; D011994:Recombinant Proteins / Q000096:biosynthesis / Q000737:chemistry; D015203:Reproducibility of Results
D011506:Proteins; D011994:Recombinant Proteins