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000283764 1001_ $$0P:(DE-HGF)0$$aAbad, E.$$b0
000283764 1112_ $$aNIC Symposium 2016$$cJülich$$d2016-02-11 - 2016-02-12$$wGermany
000283764 245__ $$aStructural Predictions of Intrinsically Disordered Proteins with Computational Methods
000283764 260__ $$aJülich$$bForschungszentrum Jülich GmbH, Zentralbibliothek$$c2016
000283764 29510 $$aNIC Symposium 2016
000283764 300__ $$a89-96
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000283764 4900_ $$aNIC Series$$v48
000283764 520__ $$aStructural 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.
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000283764 7001_ $$0P:(DE-Juel1)145921$$aRossetti, Giulia$$b1
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000283764 9201_ $$0I:(DE-Juel1)NIC-20090406$$kNIC$$lJohn von Neumann - Institut für Computing$$x1
000283764 9201_ $$0I:(DE-Juel1)IAS-5-20120330$$kIAS-5$$lComputational Biomedicine$$x2
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