This title appears in the Scientific Report :
2016
Please use the identifier:
http://hdl.handle.net/2128/10418 in citations.
Structural Predictions of Intrinsically Disordered Proteins with Computational Methods
Structural Predictions of Intrinsically Disordered Proteins with Computational Methods
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...
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Personal Name(s): | Abad, E. |
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Rossetti, Giulia | |
Contributing Institute: |
Jülich Supercomputing Center; JSC Computational Biomedicine; INM-9 Computational Biomedicine; IAS-5 John von Neumann - Institut für Computing; NIC |
Published in: |
NIC Symposium 2016 |
Imprint: |
Jülich
Forschungszentrum Jülich GmbH, Zentralbibliothek
2016
|
Physical Description: |
89-96 |
Conference: | NIC Symposium 2016, Jülich (Germany), 2016-02-11 - 2016-02-12 |
Document Type: |
Contribution to a conference proceedings |
Research Program: |
Theory, modelling and simulation Computational Science and Mathematical Methods |
Series Title: |
NIC Series
48 |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
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. |