This title appears in the Scientific Report : 2016 

Structural Predictions of Intrinsically Disordered Proteins with Computational Methods
Abad, E.
Rossetti, Giulia
Jülich Supercomputing Center; JSC
Computational Biomedicine; INM-9
Computational Biomedicine; IAS-5
John von Neumann - Institut für Computing; NIC
NIC Symposium 2016
Jülich Forschungszentrum Jülich GmbH, Zentralbibliothek 2016
NIC Symposium 2016, Jülich (Germany), 2016-02-11 - 2016-02-12
Contribution to a conference proceedings
Theory, modelling and simulation
Computational Science and Mathematical Methods
NIC Series 48
Please use the identifier: in citations.
Structural characterisation of intrinsically disordered proteins is highly non-trivial. They exist as dynamic, highly flexible structural ensembles that undergo conformational conversions on a wide range of timescales, spanning from picoseconds to milliseconds. Computational methods may be of great help to characterise these proteins. Here we review recent progress from our lab and other groups to develop and apply in silico methods for structural predictions of these highly relevant, challenging systems.