001     283764
005     20240625095115.0
024 7 _ |a 2128/10418
|2 Handle
037 _ _ |a FZJ-2016-02051
041 _ _ |a English
100 1 _ |a Abad, E.
|0 P:(DE-HGF)0
|b 0
111 2 _ |a NIC Symposium 2016
|c Jülich
|d 2016-02-11 - 2016-02-12
|w Germany
245 _ _ |a Structural Predictions of Intrinsically Disordered Proteins with Computational Methods
260 _ _ |a Jülich
|c 2016
|b Forschungszentrum Jülich GmbH, Zentralbibliothek
295 1 0 |a NIC Symposium 2016
300 _ _ |a 89-96
336 7 _ |a Contribution to a conference proceedings
|b contrib
|m contrib
|0 PUB:(DE-HGF)8
|s 1461681251_18337
|2 PUB:(DE-HGF)
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a CONFERENCE_PAPER
|2 ORCID
336 7 _ |a Output Types/Conference Paper
|2 DataCite
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a INPROCEEDINGS
|2 BibTeX
490 0 _ |a NIC Series
|v 48
520 _ _ |a 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.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 0
536 _ _ |a 574 - Theory, modelling and simulation (POF3-574)
|0 G:(DE-HGF)POF3-574
|c POF3-574
|f POF III
|x 1
700 1 _ |a Rossetti, Giulia
|0 P:(DE-Juel1)145921
|b 1
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/283764/files/nic_2016_abad.pdf
856 4 _ |y OpenAccess
|x icon
|u https://juser.fz-juelich.de/record/283764/files/nic_2016_abad.gif?subformat=icon
856 4 _ |y OpenAccess
|x icon-1440
|u https://juser.fz-juelich.de/record/283764/files/nic_2016_abad.jpg?subformat=icon-1440
856 4 _ |y OpenAccess
|x icon-180
|u https://juser.fz-juelich.de/record/283764/files/nic_2016_abad.jpg?subformat=icon-180
856 4 _ |y OpenAccess
|x icon-640
|u https://juser.fz-juelich.de/record/283764/files/nic_2016_abad.jpg?subformat=icon-640
856 4 _ |y OpenAccess
|x pdfa
|u https://juser.fz-juelich.de/record/283764/files/nic_2016_abad.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:283764
|p openaire
|p open_access
|p driver
|p VDB
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)145921
913 1 _ |a DE-HGF
|b Key Technologies
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-511
|2 G:(DE-HGF)POF3-500
|v Computational Science and Mathematical Methods
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|l Supercomputing & Big Data
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-574
|2 G:(DE-HGF)POF3-500
|v Theory, modelling and simulation
|x 1
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2016
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
920 1 _ |0 I:(DE-Juel1)NIC-20090406
|k NIC
|l John von Neumann - Institut für Computing
|x 1
920 1 _ |0 I:(DE-Juel1)IAS-5-20120330
|k IAS-5
|l Computational Biomedicine
|x 2
920 1 _ |0 I:(DE-Juel1)INM-9-20140121
|k INM-9
|l Computational Biomedicine
|x 3
980 _ _ |a contrib
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a I:(DE-Juel1)NIC-20090406
980 _ _ |a I:(DE-Juel1)IAS-5-20120330
980 _ _ |a I:(DE-Juel1)INM-9-20140121
980 1 _ |a UNRESTRICTED
980 1 _ |a FullTexts
981 _ _ |a I:(DE-Juel1)NIC-20090406
981 _ _ |a I:(DE-Juel1)IAS-5-20120330
981 _ _ |a I:(DE-Juel1)INM-9-20140121


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21