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@ARTICLE{Porta:864929,
author = {Porta, Nicola and Zaschke-Kriesche, Julia and Frieg,
Benedikt and Gopalswamy, Mohanraj and Zivkovic, Aleksandra
and Etzkorn, Manuel and Stark, Holger and Smits, Sander H.
J. and Gohlke, Holger},
title = {{S}mall-molecule inhibitors of nisin resistance protein
{NSR} from the human pathogen {S}treptococcus agalactiae},
journal = {Bioorganic $\&$ medicinal chemistry},
volume = {27},
number = {20},
issn = {0968-0896},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2019-04532},
pages = {115079},
year = {2019},
abstract = {Lantibiotics are antimicrobial peptides produced by
Gram-positive bacteria and active in the nanomolar range.
Nisin is the most intensely studied and used lantibiotic,
with applications as food preservative and recognized
potential for clinical usage. However, different bacteria
that are pathogenic for humans and do not produce nisin,
including Streptococcus agalactiae, show an innate
resistance that has been related to the nisin resistance
protein (NSR), a membrane-associated protease. Here, we
report the first-in-class small-molecule inhibitors of SaNSR
identified by virtual screening based on a previously
derived structural model of the nisin/NSR complex. The
inhibitors belong to three different chemotypes, of which
the halogenated phenyl-urea derivative NPG9 is the most
potent one. Co-administration of NPG9 with nisin yields
increased potency compared to nisin alone in
SaNSR-expressing bacteria. The binding mode of NPG9,
predicted with molecular docking and validated by extensive
molecular dynamics simulations, confirms a
structure-activity relationship derived from the in vivo
data. Saturation transfer difference-NMR experiments
demonstrate direct binding of NPG9 to SaNSR and agree with
the predicted binding mode. Our results demonstrate the
potential to overcome SaNSR-related lantibiotic resistance
by small molecules.},
cin = {JSC / NIC / ICS-6},
ddc = {610},
cid = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)NIC-20090406 /
I:(DE-Juel1)ICS-6-20110106},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511) / 553 - Physical Basis of Diseases (POF3-553) /
Forschergruppe Gohlke $(hkf7_20170501)$},
pid = {G:(DE-HGF)POF3-511 / G:(DE-HGF)POF3-553 /
$G:(DE-Juel1)hkf7_20170501$},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:31500943},
UT = {WOS:000486383500014},
doi = {10.1016/j.bmc.2019.115079},
url = {https://juser.fz-juelich.de/record/864929},
}