Hauptseite > Publikationsdatenbank > Chiral Analogues of PFI-1 as BET Inhibitors and Their Functional Role in Myeloid Malignancies > print

001     885465
005     20240625095119.0
024 7 _ |a 10.1021/acsmedchemlett.9b00625
|2 doi
024 7 _ |a 2128/27117
|2 Handle
024 7 _ |a altmetric:79274019
|2 altmetric
024 7 _ |a 33062175
|2 pmid
024 7 _ |a WOS:000580567800022
|2 WOS
037 _ _ |a FZJ-2020-03848
082 _ _ |a 610
100 1 _ |a Altenburg, Bianca
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Chiral Analogues of PFI-1 as BET Inhibitors and Their Functional Role in Myeloid Malignancies
260 _ _ |a Washington, DC
|c 2020
|b ACS
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 1612539431_9825
|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 Structural analogues of PFI-1 varying at the sulfur core were prepared, and their activities as BET inhibitors in myeloid cell lines and primary cells from patients with acute myeloid leukemia were studied. Docking calculations followed by molecular dynamics simulations revealed the binding mode of the newly prepared inhibitors, suggesting explanations for the observed high enantiospecificity of the inhibitory activity.
536 _ _ |a 573 - Neuroimaging (POF3-573)
|0 G:(DE-HGF)POF3-573
|c POF3-573
|f POF III
|x 0
536 _ _ |a 572 - (Dys-)function and Plasticity (POF3-572)
|0 G:(DE-HGF)POF3-572
|c POF3-572
|f POF III
|x 1
536 _ _ |a 574 - Theory, modelling and simulation (POF3-574)
|0 G:(DE-HGF)POF3-574
|c POF3-574
|f POF III
|x 2
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 3
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Frings, Marcus
|0 0000-0002-6228-1229
|b 1
700 1 _ |a Schöbel, Jan-Hendrik
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Goßen, Jonas
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Pannen, Kristina
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Vanderliek, Kim
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Rossetti, Giulia
|0 P:(DE-Juel1)145921
|b 6
700 1 _ |a Koschmieder, Steffen
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Chatain, Nicolas
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Bolm, Carsten
|0 0000-0001-9415-9917
|b 9
|e Corresponding author
773 _ _ |a 10.1021/acsmedchemlett.9b00625
|g p. acsmedchemlett.9b00625
|0 PERI:(DE-600)2532386-6
|n 10
|p 1928–1934
|t ACS medicinal chemistry letters
|v 11
|y 2020
|x 1948-5875
856 4 _ |u https://juser.fz-juelich.de/record/885465/files/Author%20fulltext.pdf
|y Published on 2020-04-02. Available in OpenAccess from 2021-04-02.
856 4 _ |u https://juser.fz-juelich.de/record/885465/files/acsmedchemlett.9b00625.pdf
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/885465/files/acsmedchemlett.9b00625.pdf?subformat=pdfa
|x pdfa
|y Restricted
909 C O |o oai:juser.fz-juelich.de:885465
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)145921
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-573
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-500
|4 G:(DE-HGF)POF
|v Neuroimaging
|x 0
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-572
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-500
|4 G:(DE-HGF)POF
|v (Dys-)function and Plasticity
|x 1
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
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-500
|4 G:(DE-HGF)POF
|v Theory, modelling and simulation
|x 2
913 1 _ |a DE-HGF
|b Key Technologies
|l Supercomputing & Big Data
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-511
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-500
|4 G:(DE-HGF)POF
|v Computational Science and Mathematical Methods
|x 3
913 2 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-524
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Molecular and Cellular Information Processing
|9 G:(DE-HGF)POF4-5241
|x 0
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2020-01-03
915 _ _ |a Embargoed OpenAccess
|0 StatID:(DE-HGF)0530
|2 StatID
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ACS MED CHEM LETT : 2018
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-01-03
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
|d 2020-01-03
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1200
|2 StatID
|b Chemical Reactions
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2020-01-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-01-03
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IAS-5-20120330
|k IAS-5
|l Computational Biomedicine
|x 0
920 1 _ |0 I:(DE-Juel1)INM-9-20140121
|k INM-9
|l Computational Biomedicine
|x 1
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IAS-5-20120330
980 _ _ |a I:(DE-Juel1)INM-9-20140121
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21