Inhibition of Oncogenic Kinases: An In Vitro Validated Computational Approach Identified Potential Multi-Target Anticancer Compounds
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 po...
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my.um.eprints.240762020-03-22T08:36:58Z http://eprints.um.edu.my/24076/ Inhibition of Oncogenic Kinases: An In Vitro Validated Computational Approach Identified Potential Multi-Target Anticancer Compounds Ikram, Nazia Mirza, Muhammad Usman Vanmeert, Michiel Froeyen, Matheus Salo-Ahen, Outi M.H. Tahir, Muhammad Qazi, Aamer Ahmad, Sarfraz QD Chemistry R Medicine 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 noncancerous 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. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. MDPI 2019 Article PeerReviewed Ikram, Nazia and Mirza, Muhammad Usman and Vanmeert, Michiel and Froeyen, Matheus and Salo-Ahen, Outi M.H. and Tahir, Muhammad and Qazi, Aamer and Ahmad, Sarfraz (2019) Inhibition of Oncogenic Kinases: An In Vitro Validated Computational Approach Identified Potential Multi-Target Anticancer Compounds. Biomolecules, 9 (4). p. 124. ISSN 2218-273X https://doi.org/10.3390/biom9040124 doi:10.3390/biom9040124 |
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QD Chemistry R Medicine Ikram, Nazia Mirza, Muhammad Usman Vanmeert, Michiel Froeyen, Matheus Salo-Ahen, Outi M.H. Tahir, Muhammad Qazi, Aamer Ahmad, Sarfraz Inhibition of Oncogenic Kinases: An In Vitro Validated Computational Approach Identified Potential Multi-Target Anticancer Compounds |
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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 noncancerous 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. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. |
format |
Article |
author |
Ikram, Nazia Mirza, Muhammad Usman Vanmeert, Michiel Froeyen, Matheus Salo-Ahen, Outi M.H. Tahir, Muhammad Qazi, Aamer Ahmad, Sarfraz |
author_facet |
Ikram, Nazia Mirza, Muhammad Usman Vanmeert, Michiel Froeyen, Matheus Salo-Ahen, Outi M.H. Tahir, Muhammad Qazi, Aamer Ahmad, Sarfraz |
author_sort |
Ikram, Nazia |
title |
Inhibition of Oncogenic Kinases: An In Vitro Validated Computational Approach Identified Potential Multi-Target Anticancer Compounds |
title_short |
Inhibition of Oncogenic Kinases: An In Vitro Validated Computational Approach Identified Potential Multi-Target Anticancer Compounds |
title_full |
Inhibition of Oncogenic Kinases: An In Vitro Validated Computational Approach Identified Potential Multi-Target Anticancer Compounds |
title_fullStr |
Inhibition of Oncogenic Kinases: An In Vitro Validated Computational Approach Identified Potential Multi-Target Anticancer Compounds |
title_full_unstemmed |
Inhibition of Oncogenic Kinases: An In Vitro Validated Computational Approach Identified Potential Multi-Target Anticancer Compounds |
title_sort |
inhibition of oncogenic kinases: an in vitro validated computational approach identified potential multi-target anticancer compounds |
publisher |
MDPI |
publishDate |
2019 |
url |
http://eprints.um.edu.my/24076/ https://doi.org/10.3390/biom9040124 |
_version_ |
1662755219589562368 |