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dc.contributor.authorMestanoglu, Mert
dc.contributor.authorBektas, Muhammet
dc.contributor.authorÜNLÜ, AYHAN
dc.contributor.authorYurtsever, Mine
dc.contributor.authorDURDAĞI, SERDAR
dc.contributor.authorSalmas, Ramin Ekhteiari
dc.date.accessioned2021-03-04T08:23:23Z
dc.date.available2021-03-04T08:23:23Z
dc.date.issued2017
dc.identifier.citationSalmas R. E. , ÜNLÜ A., Bektas M., Yurtsever M., Mestanoglu M., DURDAĞI S., "Virtual screening of small molecules databases for discovery of novel PARP-1 inhibitors: combination of in silico and in vitro studies", JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, cilt.35, sa.9, ss.1899-1915, 2017
dc.identifier.issn0739-1102
dc.identifier.othervv_1032021
dc.identifier.otherav_63056070-8a54-4912-8f02-4c458906b105
dc.identifier.urihttp://hdl.handle.net/20.500.12627/68956
dc.identifier.urihttps://doi.org/10.1080/07391102.2016.1199328
dc.description.abstractPoly(ADP-ribose) polymerase-1 (PARP-1) enzyme has critical roles in DNA replication repair and recombination. Thus, PARP-1 inhibitors play an important role in the cancer therapy. In the current study, we have performed combination of in silico and in vitro studies in order to discover novel inhibitors against PARP-1 target. Structure-based virtual screening was carried out for an available small molecules database. A total of 257,951 ligands from Otava database were screened at the binding pocket of PARP-1 using high-throughput virtual screening techniques. Filtered structures based on predicted binding energy results were then used in more sophisticated molecular docking simulations (i.e. Glide/standard precision, Glide/XP, induced fit docking - IFD, and quantum mechanics polarized ligand docking - QPLD). Potential high binding affinity compounds that are predicted by molecular simulations were then tested by in vitro methods. Computationally proposed compounds as PARP-1 inhibitors (Otava Compound Codes: 7111620047 and 7119980926) were confirmed by in vitro studies. In vitro results showed that compounds 7111620047 and 7119980926 have IC50 values of 0.56 and 63M against PARP-1 target, respectively. The molecular mechanism analysis, free energy perturbation calculations using long multiple molecular dynamics simulations for the discovered compounds which showed high binding affinity against PARP-1 enzyme, as well as structure-based pharmacophore development (E-pharmacophore) studies were also studied.
dc.language.isoeng
dc.subjectBiyofizik
dc.subjectBiyokimya
dc.subjectYaşam Bilimleri
dc.subjectMoleküler Biyoloji ve Genetik
dc.subjectSitogenetik
dc.subjectTemel Bilimler
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectTemel Tıp Bilimleri
dc.subjectBiyoloji ve Biyokimya
dc.subjectBİYOFİZİK
dc.subjectYaşam Bilimleri (LIFE)
dc.subjectMoleküler Biyoloji ve Genetik
dc.subjectBİYOKİMYA VE MOLEKÜLER BİYOLOJİ
dc.titleVirtual screening of small molecules databases for discovery of novel PARP-1 inhibitors: combination of in silico and in vitro studies
dc.typeMakale
dc.relation.journalJOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
dc.contributor.departmentBahçeşehir Üniversitesi , ,
dc.identifier.volume35
dc.identifier.issue9
dc.identifier.startpage1899
dc.identifier.endpage1915
dc.contributor.firstauthorID239531


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