Home > Publications database > Using biomolecular simulations to interpret experimental data > print

001     916321
005     20221223131704.0
024 7 _ |a 10.1016/j.bpj.2021.11.1151
|2 doi
024 7 _ |a 0006-3495
|2 ISSN
024 7 _ |a 1542-0086
|2 ISSN
037 _ _ |a FZJ-2022-06122
082 _ _ |a 570
100 1 _ |a Schug, Alexander
|0 P:(DE-Juel1)173652
|b 0
|e Corresponding author
|u fzj
245 _ _ |a Using biomolecular simulations to interpret experimental data
260 _ _ |a Bethesda, Md.
|c 2022
|b Soc.
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 1671717213_17642
|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
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
|x 0
536 _ _ |a Forschergruppe Schug (hkf6_20200501)
|0 G:(DE-Juel1)hkf6_20200501
|c hkf6_20200501
|f Forschergruppe Schug
|x 1
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
773 _ _ |a 10.1016/j.bpj.2021.11.1151
|g Vol. 121, no. 3, p. 321a -
|0 PERI:(DE-600)1477214-0
|n 3
|p 321a -
|t Biophysical journal
|v 121
|y 2022
|x 0006-3495
856 4 _ |u https://juser.fz-juelich.de/record/916321/files/Schug21.pdf
|y Restricted
909 C O |o oai:juser.fz-juelich.de:916321
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)173652
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5111
|x 0
914 1 _ |y 2022
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-15
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-15
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-15
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2022-11-15
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2022-11-15
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-15
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2022-11-15
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2022-11-15
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2022-11-15
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b BIOPHYS J : 2021
|d 2022-11-15
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2022-11-15
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21