Please use this identifier to cite or link to this item: doi:10.22028/D291-42666
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Title: Hit optimization by dynamic combinatorial chemistry on Streptococcus pneumoniae energy-coupling factor transporter ECF-PanT
Author(s): Exapicheidou, Ioulia Antonia
Shams, Atanaz
Ibrahim, Hamza
Tsarenko, Aleksei
Backenköhler, Michael
Hamed, Mostafa M.
Diamanti, Eleonora
Volkamer, Andrea
Slotboom, Dirk J.
Hirsch, Anna K. H.
Language: English
Title: Chemical Communications
Volume: 60
Issue: 7
Pages: 870-873
Publisher/Platform: Royal Society of Chemistry
Year of Publication: 2024
DDC notations: 500 Science
Publikation type: Journal Article
Abstract: Herein, we present the first application of target-directed dynamic combinatorial chemistry (tdDCC) to the whole complex of the highly dynamic transmembrane, energy-coupling factor (ECF) transporter ECF-PanT in Streptococcus pneumoniae. In addition, we successfully employed the tdDCC technique as a hitidentification and -optimization strategy that led to the identification of optimized ECF inhibitors with improved activity. We characterized the best compounds regarding cytotoxicity and performed computational modeling studies on the crystal structure of ECF-PanT to rationalize their binding mode. Notably, docking studies showed that the acylhydrazone linker is able to maintain the crucial interactions.
DOI of the first publication: 10.1039/D3CC04738E
URL of the first publication: https://doi.org/10.1039/D3CC04738E
Link to this record: urn:nbn:de:bsz:291--ds-426663
hdl:20.500.11880/38270
http://dx.doi.org/10.22028/D291-42666
ISSN: 1364-548X
0022-4936
Date of registration: 14-Aug-2024
Description of the related object: Electronic supplementary information
Related object: https://www.rsc.org/suppdata/d3/cc/d3cc04738e/d3cc04738e1.pdf
Faculty: MI - Fakultät für Mathematik und Informatik
NT - Naturwissenschaftlich- Technische Fakultät
Department: MI - Informatik
NT - Pharmazie
Professorship: MI - Prof. Dr. Andrea Volkamer
MI - Prof. Dr. Verena Wolf
NT - Prof. Dr. Anna Hirsch
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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