Targeting the NF-?B/I?B? complex via fragment-based E-Pharmacophore virtual screening and binary QSAR models

dc.contributor.authorKanan, Tarek
dc.contributor.authorKanan, Duaa
dc.contributor.authorErol, Ismail
dc.contributor.authorYazdi, Samira
dc.contributor.authorStein, Matthias
dc.contributor.authorDurdagi, Serdar
dc.date.accessioned2025-10-29T11:26:28Z
dc.date.issued2019
dc.departmentFakülteler, Temel Bilimler Fakültesi, Kimya Bölümü
dc.description.abstractNuclear factor-kappa B (NF-kappa B) transcription factors represent a conserved family of proteins that regulate not only immune cells, but also heart cells, glial cells and neurons, playing a fundamental role in various cellular processes. Due to its dysregulation in certain cancer types as well as in chronic inflammation and autoimmune diseases, it has recently been appreciated as an important therapeutic target. The aim of this study was to investigate the binding pocket of NF-kappa B (p50/p65) heterodimer complex in association with NF-kappa B inhibitor I kappa B alpha to identify potent ligands via fragment-based e-pharmacophore screening. The ZINC Clean Fragments (similar to 2 million) and the Schrodinger's medically relevant Glide fragments library (similar to 670) were used to create the e-pharmacophore models at the potential binding site which was validated by site mapping. Glide/HTVS docking was conducted followed by re-docking of the top 20% fragments by Glide/SP and Glide/XP protocols. The top-85000 Glide XP-docked fragments were used to generate the e-pharmacophore hypotheses. The Otava small molecule library (similar to 260000 drug-like molecules) and 85 known NF-kappa B inhibitors were additionally screened against the derived e-pharmacophore models. The top-1000 high-scored molecules, which were well aligned to the e-pharmacophore models, from the Otava small molecule library, were then docked into the binding pocket. Finally, the selected 88 hit molecules and the 85 known inhibitors were analyzed by the MetaCore/MetaDrug (TM) platform, which uses developed binary QSAR models for therapeutic activity prediction as well as pharmacokinetic and toxicity profile predictions of screening molecules. Ligand selection criteria led to the refinement of 3 potent hit molecules using molecular dynamics (MD) simulations to better investigate their structural and dynamical profiles. The selected hit molecules had a low toxicity and a significant therapeutic potential for heart failure, antiviral activity, asthma and depression, all conditions in which NF-kappa B plays a critical role. These hit ligands were also structurally stable at the NE-kappa B/I kappa B alpha complex as per the MD simulations and MM/GBSA analysis. Two of these ligands (Otava IDs: 1426436 and 6248112) showed stronger binding and therefore are hypothesized to be more potent. The identification of new potent NF-kappa B/I kappa B alpha inhibitors may thus present a novel therapy for inflammation-mediated conditions as well as cancer, facilitating more efficient research, and leading the way to future drug development efforts. (C) 2018 Elsevier Inc. All rights reserved.
dc.description.sponsorshipMax Planck Society for the Advancement of Science
dc.description.sponsorshipMinistry of Economy, Science and Digitalisation of Saxony-Anhalt [ZS/2016/04/78155]
dc.description.sponsorshipCenter for Dynamic Systems (MDUB)
dc.description.sponsorshipThe numerical calculations reported in this paper were partially performed at TUBITAK ULAKBIM, High Performance and Grid Computing Center (TRUBA resources). This work was in part supported by the Max Planck Society for the Advancement of Science, the Ministry of Economy, Science and Digitalisation of Saxony-Anhalt by means of the ERDF (period 2014-2020, ZS/2016/04/78155) and the Center for Dynamic Systems (MDUB).
dc.identifier.doi10.1016/j.jmgm.2018.09.014
dc.identifier.endpage277
dc.identifier.issn1093-3263
dc.identifier.issn1873-4243
dc.identifier.orcid0000-0002-0426-0905
dc.identifier.orcid0000-0003-1905-9558
dc.identifier.orcid0000-0001-7793-0052
dc.identifier.orcid0000-0003-1943-8371
dc.identifier.pmid30415122
dc.identifier.scopus2-s2.0-85056190366
dc.identifier.scopusqualityQ2
dc.identifier.startpage264
dc.identifier.urihttps://doi.org/10.1016/j.jmgm.2018.09.014
dc.identifier.urihttps://hdl.handle.net/20.500.14854/10297
dc.identifier.volume86
dc.identifier.wosWOS:000452816200027
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofJournal of Molecular Graphics & Modelling
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20251020
dc.subjectNF-kappa B
dc.subjectE-pharmacophore
dc.subjectFragment-based drug discovery
dc.subjectDocking studies
dc.subjectMolecular dynamics (MD)
dc.subjectMetaCore/MetaDrug analysis
dc.titleTargeting the NF-?B/I?B? complex via fragment-based E-Pharmacophore virtual screening and binary QSAR models
dc.typeArticle

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