Literature DB >> 30415122

Targeting the NF-κB/IκBα complex via fragment-based E-Pharmacophore virtual screening and binary QSAR models.

Tarek Kanan1, Duaa Kanan1, Ismail Erol2, Samira Yazdi3, Matthias Stein4, Serdar Durdagi5.   

Abstract

Nuclear factor-κB (NF-κB) 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-κB (p50/p65) heterodimer complex in association with NF-κB inhibitor IκBα to identify potent ligands via fragment-based e-pharmacophore screening. The ZINC Clean Fragments (∼2 million) and the Schrodinger's medically relevant Glide fragments library (∼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 (∼260000 drug-like molecules) and 85 known NF-κB 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™ 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-κB plays a critical role. These hit ligands were also structurally stable at the NF-κB/IκBα 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-κB/IκBα 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.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Docking studies; E-pharmacophore; Fragment-based drug discovery; MetaCore/MetaDrug analysis; Molecular dynamics (MD); NF-κB

Mesh:

Substances:

Year:  2018        PMID: 30415122     DOI: 10.1016/j.jmgm.2018.09.014

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  6 in total

1.  Target-Driven Design of a Coumarinyl Chalcone Scaffold Based Novel EF2 Kinase Inhibitor Suppresses Breast Cancer Growth In Vivo.

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Journal:  ACS Pharmacol Transl Sci       Date:  2021-03-30

2.  Integrating Ligand and Target-Driven Based Virtual Screening Approaches With in vitro Human Cell Line Models and Time-Resolved Fluorescence Resonance Energy Transfer Assay to Identify Novel Hit Compounds Against BCL-2.

Authors:  Gurbet Tutumlu; Berna Dogan; Timucin Avsar; Muge Didem Orhan; Seyma Calis; Serdar Durdagi
Journal:  Front Chem       Date:  2020-04-09       Impact factor: 5.221

3.  Exogenous melatonin alleviates hemorrhagic shock‑induced hepatic ischemic injury in rats by inhibiting the NF‑κB/IκBα signaling pathway.

Authors:  Hai-Wei Li; Pan Ying; Qi-Qi Cai; Zhi-Hui Yang; Xian-Long Wu
Journal:  Mol Med Rep       Date:  2021-03-24       Impact factor: 2.952

4.  Screening of Clinically Approved and Investigation Drugs as Potential Inhibitors of SARS-CoV-2: A Combined in silico and in vitro Study.

Authors:  Serdar Durdagi; Muge Didem Orhan; Busecan Aksoydan; Seyma Calis; Berna Dogan; Kader Sahin; Aida Shahraki; Necla Birgül Iyison; Timucin Avsar
Journal:  Mol Inform       Date:  2021-09-16       Impact factor: 4.050

5.  Transcription factor NF-κB as target for SARS-CoV-2 drug discovery efforts using inflammation-based QSAR screening model.

Authors:  Tarek Kanan; Duaa Kanan; Ebrahim Jaafar Al Shardoub; Serdar Durdagi
Journal:  J Mol Graph Model       Date:  2021-06-23       Impact factor: 2.518

Review 6.  NF-κB Signaling and Inflammation-Drug Repurposing to Treat Inflammatory Disorders?

Authors:  Annabell Roberti; Laura Elizabeth Chaffey; David R Greaves
Journal:  Biology (Basel)       Date:  2022-02-26
  6 in total

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