001     865162
005     20210130002934.0
024 7 _ |a 10.1002/chem.201902801
|2 doi
024 7 _ |a 0947-6539
|2 ISSN
024 7 _ |a 1521-3765
|2 ISSN
024 7 _ |a altmetric:68908126
|2 altmetric
024 7 _ |a pmid:31498478
|2 pmid
024 7 _ |a WOS:000490306500001
|2 WOS
037 _ _ |a FZJ-2019-04708
082 _ _ |a 540
100 1 _ |a Wifling, David
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Basal Histamine H4 Receptor Activation: Agonist Mimicry by the Diphenylalanine Motif
260 _ _ |a Weinheim
|c 2019
|b Wiley-VCH
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1574425743_16100
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Histamine H4 receptor (H4R) orthologues are G‐protein coupled receptors (GPCRs) that exhibit species‐dependent basal activity: In contrast to the basally inactive mouse H4R (mH4R), human H4R (hH4R) shows a high degree of basal activity. We have performed long‐time‐scale molecular‐dynamics simulations and rigidity analyses on wild‐type hH4R, the experimentally characterized hH4R variants S179M, F169V, F169V+S179M, F168A, and on mH4R to investigate the molecular nature of differential basal activity. H4R variant‐dependent differences between essential motifs of GPCR activation and structural stabilities correlate with experimentally determined basal activities and provide a molecular explanation for the differences in basal activation. Strikingly, during the MD simulations, F16945.55 dips into the orthosteric binding pocket only in the case of hH4R, thus adopting the role of an agonist and contributing to the stabilization of the active state. The results shed new light on the molecular mechanism of basal H4R activation that are of importance for other GPCRs.
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 Forschergruppe Gohlke (hkf7_20170501)
|0 G:(DE-Juel1)hkf7_20170501
|c hkf7_20170501
|f Forschergruppe Gohlke
|x 1
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Pfleger, Christopher
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Kaindl, Jonas
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Ibrahim, Paissante
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Kling, Ralf
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Buschauer, Armin
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Gohlke, Holger
|0 P:(DE-Juel1)172663
|b 6
|e Corresponding author
|u fzj
700 1 _ |a Clark, Tim
|0 P:(DE-HGF)0
|b 7
|e Corresponding author
773 _ _ |a 10.1002/chem.201902801
|g p. chem.201902801
|0 PERI:(DE-600)1478547-x
|n 64
|p 14613-14624
|t Chemistry - a European journal
|v 25
|y 2019
|x 1521-3765
856 4 _ |u https://juser.fz-juelich.de/record/865162/files/Wifling_et_al-2019-Chemistry_-_A_European_Journal-1.pdf
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/865162/files/Wifling_et_al-2019-Chemistry_-_A_European_Journal-1.pdf?subformat=pdfa
|x pdfa
|y Restricted
909 C O |o oai:juser.fz-juelich.de:865162
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)172663
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
914 1 _ |y 2019
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b CHEM-EUR J : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b CHEM-EUR J : 2017
920 _ _ |l yes
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 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)NIC-20090406
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a I:(DE-Juel1)ICS-6-20110106
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)IBI-7-20200312


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21