2018
DOI: 10.1134/s0006297918020074
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2,5-Diketopiperazines: A New Class of Poly(ADP-ribose)polymerase Inhibitors

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Cited by 13 publications
(9 citation statements)
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“…NRPS‐derived DKPs form a large class of natural products with diverse biological activities . Gliotoxin ( 1 ) is the best‐known member of the epipolythiodiketopiperazines (ETPs), a family of toxic DKPs produced by a variety of filamentous fungi .…”
Section: Figurementioning
confidence: 99%
See 1 more Smart Citation
“…NRPS‐derived DKPs form a large class of natural products with diverse biological activities . Gliotoxin ( 1 ) is the best‐known member of the epipolythiodiketopiperazines (ETPs), a family of toxic DKPs produced by a variety of filamentous fungi .…”
Section: Figurementioning
confidence: 99%
“…NRPS‐derived DKPs form a large class of natural products with diverse biological activities . Gliotoxin ( 1 ) is the best‐known member of the epipolythiodiketopiperazines (ETPs), a family of toxic DKPs produced by a variety of filamentous fungi . The biosynthesis of 1 has been extensively studied because of its significant contribution to the virulence of the devastating human pathogen, A. fumigatus and as a model system for fungal NRPS pathways.…”
Section: Figurementioning
confidence: 99%
“…Although strong suppression of PARP seems to be inherently toxic due to an important role played by these proteins in the organism, attempts are continuing to find the proper balance between efficacy of natural inhibitors and their toxicity. For example, PARP inhibitors were identified among caffeine metabolites [20,21] and 2,5-diketopiperazines from chicken essence (a food supplement in Asian countries) [22]. Recently we have shown that a natural nitrogenous base, 7-methylguanine (7-MG), inhibits PARP-1 in vitro and accelerates apoptotic death of BRCA-deficient breast cancer cells induced by cisplatin and doxorubicin [23].…”
Section: Introductionmentioning
confidence: 99%
“…Deficiencies of current scoring functions complicate ranking of docking poses and produce high “false positive” and “false negative” rates. However, the performance of virtual screening can be improved by postdocking structural filtration, allowing the selection of specifically bound ligands. The main idea behind the structural filtration approach is that the presence of interactions characteristic for the substrate and/or known inhibitors could be taken as an effective criterion for the postdocking identification of new potent binders.…”
Section: Introductionmentioning
confidence: 99%