001     874345
005     20210130004645.0
020 _ _ |a 978-3-95806-443-0
024 7 _ |2 Handle
|a 2128/24449
037 _ _ |a FZJ-2020-01378
041 _ _ |a English
100 1 _ |0 P:(DE-Juel1)172887
|a Frieg, Benedikt
|b 0
111 2 _ |a NIC Symposium 2020
|c Jülich
|d 2020-02-27 - 2020-02-28
|w Germany
245 _ _ |a Simulating Thioflavin T and Congo Red Binding to the Fibril Structure of Amyloid-$ß$(1-42)
260 _ _ |a Jülich
|b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
|c 2020
295 1 0 |a NIC Symposium 2020
300 _ _ |a 53 - 61
336 7 _ |2 ORCID
|a CONFERENCE_PAPER
336 7 _ |0 33
|2 EndNote
|a Conference Paper
336 7 _ |2 BibTeX
|a INPROCEEDINGS
336 7 _ |2 DRIVER
|a conferenceObject
336 7 _ |2 DataCite
|a Output Types/Conference Paper
336 7 _ |0 PUB:(DE-HGF)8
|2 PUB:(DE-HGF)
|a Contribution to a conference proceedings
|b contrib
|m contrib
|s 1583314873_28910
336 7 _ |0 PUB:(DE-HGF)7
|2 PUB:(DE-HGF)
|a Contribution to a book
|m contb
490 0 _ |a Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series
|v 50
520 _ _ |a Binding modes for two amyloid-β(1-42) fibril tracers, namely Thioflavin T and Congo red, were identified using unbiased all-atom molecular dynamics simulations and binding free-energy computations. Both dyes bind to primarily hydrophobic grooves on the amyloid fibril surface, perpendicular to itsβ-strands. Binding affinities computed by the MM-GBSA method are in excellent agreement with experimental values and corroborate the proposed binding modes. The binding modes can guide the rational design of novel biomarkers for amyloid fibrils.
536 _ _ |0 G:(DE-HGF)POF3-511
|a 511 - Computational Science and Mathematical Methods (POF3-511)
|c POF3-511
|f POF III
|x 0
700 1 _ |0 P:(DE-Juel1)172663
|a Gohlke, Holger
|b 1
|e Corresponding author
787 0 _ |0 FZJ-2020-01353
|i IsPartOf
856 4 _ |u https://juser.fz-juelich.de/record/874345/files/NIC_2020_Gohlke.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/874345/files/NIC_2020_Gohlke.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:874345
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |0 I:(DE-588b)5008462-8
|6 P:(DE-Juel1)172887
|a Forschungszentrum Jülich
|b 0
|k FZJ
910 1 _ |0 I:(DE-588b)5008462-8
|6 P:(DE-Juel1)172663
|a Forschungszentrum Jülich
|b 1
|k FZJ
913 1 _ |0 G:(DE-HGF)POF3-511
|1 G:(DE-HGF)POF3-510
|2 G:(DE-HGF)POF3-500
|a DE-HGF
|b Key Technologies
|v Computational Science and Mathematical Methods
|x 0
|l Supercomputing & Big Data
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2020
915 _ _ |0 StatID:(DE-HGF)0510
|2 StatID
|a OpenAccess
915 _ _ |0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
|a Creative Commons Attribution CC BY 4.0
920 1 _ |0 I:(DE-Juel1)NIC-20090406
|k NIC
|l John von Neumann - Institut für Computing
|x 0
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 1
920 1 _ |0 I:(DE-Juel1)ICS-6-20110106
|k ICS-6
|l Strukturbiochemie
|x 2
980 1 _ |a FullTexts
980 _ _ |a contrib
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a contb
980 _ _ |a I:(DE-Juel1)NIC-20090406
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a I:(DE-Juel1)ICS-6-20110106
981 _ _ |a I:(DE-Juel1)IBI-7-20200312


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21