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Targeting the NF-kappa B/I kappa B alpha complex via fragment-based E-Pharmacophore virtual screening and binary QSAR models
Bahcesehir Univ, Turkey.
Bahcesehir Univ, Turkey.
Bahcesehir Univ, Turkey; Gebze Tech Univ, Turkey.
Linköping University, Department of Clinical and Experimental Medicine, Divison of Neurobiology. Linköping University, Faculty of Medicine and Health Sciences. Max Planck Inst Dynam and Complex Tech Syst, Germany.
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2019 (English)In: Journal of Molecular Graphics and Modelling, ISSN 1093-3263, E-ISSN 1873-4243, Vol. 86, p. 264-277Article in journal (Refereed) Published
Abstract [en]

Nuclear 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 Schrodingers 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.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE INC , 2019. Vol. 86, p. 264-277
Keywords [en]
NF-kappa B; E-pharmacophore; Fragment-based drug discovery; Docking studies; Molecular dynamics (MD); MetaCore/MetaDrug analysis
National Category
Biochemistry and Molecular Biology
Identifiers
URN: urn:nbn:se:liu:diva-153658DOI: 10.1016/j.jmgm.2018.09.014ISI: 000452816200027PubMedID: 30415122OAI: oai:DiVA.org:liu-153658DiVA, id: diva2:1276256
Note

Funding Agencies|Max Planck Society for the Advancement of Science; Ministry of Economy, Science and Digitalisation of Saxony-Anhalt [ZS/2016/04/78155]; Center for Dynamic Systems (MDUB)

Available from: 2019-01-07 Created: 2019-01-07 Last updated: 2019-01-07

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