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Open AccessArticle

Inhibition of Oncogenic Kinases: An In Vitro Validated Computational Approach Identified Potential Multi-Target Anticancer Compounds

1
Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore 54000, Pakistan
2
Centre for Research in Molecular Medicine, The University of Lahore, Lahore 54000, Pakistan
3
Department of Pharmaceutical and Pharmacological Sciences, Rega Institute for Medical Research, Medicinal Chemistry, University of Leuven, B-3000 Leuven, Belgium
4
Structural Bioinformatics Laboratory, Faculty of Science and Engineering, Biochemistry, Åbo Akademi University, FI-20520 Turku, Finland
5
Pharmaceutical Sciences Laboratory, Faculty of Science and Engineering, Pharmacy, Åbo Akademi University, FI-20520 Turku, Finland
6
Institute of Pharmaceutical Sciences, Riphah University, Lahore 54000, Pakistan
7
Department of Chemistry, Faculty of Sciences, University Malaya, Kuala Lumpur 59100, Malaysia
*
Author to whom correspondence should be addressed.
Both authors contributed equally to this work.
Biomolecules 2019, 9(4), 124; https://doi.org/10.3390/biom9040124
Received: 28 January 2019 / Revised: 20 March 2019 / Accepted: 21 March 2019 / Published: 28 March 2019
(This article belongs to the Special Issue Protein Dynamics Simulations)
Tumorigenesis in humans is a multistep progression that imitates genetic changes leading to cell transformation and malignancy. Oncogenic kinases play a central role in cancer progression, rendering them putative targets for the design of anti-cancer drugs. The presented work aims to identify the potential multi-target inhibitors of oncogenic receptor tyrosine kinases (RTKs) and serine/threonine kinases (STKs). For this, chemoinformatics and structure-based virtual screening approaches were combined with an in vitro validation of lead hits on both cancerous and non-cancerous cell lines. A total of 16 different kinase structures were screened against ~739,000 prefiltered compounds using diversity selection, after which the top hits were filtered for promising pharmacokinetic properties. This led to the identification of 12 and 9 compounds against RTKs and STKs, respectively. Molecular dynamics (MD) simulations were carried out to better comprehend the stability of the predicted hit kinase-compound complexes. Two top-ranked compounds against each kinase class were tested in vitro for cytotoxicity, with compound F34 showing the most promising inhibitory activity in HeLa, HepG2, and Vero cell lines with IC50 values of 145.46 μM, 175.48 μM, and 130.52 μM, respectively. Additional docking of F34 against various RTKs was carried out to support potential multi-target inhibition. Together with reliable MD simulations, these results suggest the promising potential of identified multi-target STK and RTK scaffolds for further kinase-specific anti-cancer drug development toward combinatorial therapies. View Full-Text
Keywords: cancer; multi-target inhibitors; receptor tyrosine kinases; serine/threonine kinases; molecular dynamics simulations; molecular docking; in vitro; cell lines cancer; multi-target inhibitors; receptor tyrosine kinases; serine/threonine kinases; molecular dynamics simulations; molecular docking; in vitro; cell lines
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Ikram, N.; Mirza, M.U.; Vanmeert, M.; Froeyen, M.; Salo-Ahen, O.M.H.; Tahir, M.; Qazi, A.; Ahmad, S. Inhibition of Oncogenic Kinases: An In Vitro Validated Computational Approach Identified Potential Multi-Target Anticancer Compounds. Biomolecules 2019, 9, 124.

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