Identification of non-classical hCA XII inhibitors using combination of computational approaches for drug design and discovery

Abstract Human carbonic anhydrase XII (hCA XII) isozyme is of high therapeutic value as a pharmacological target and biomarker for different types of cancer. The hCA XII is one of the crucial effectors that regulates extracellular and intracellular pH and affects cancer cell proliferation, invasion,...

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Autores principales: Mohammad M. Al-Sanea, Garri Chilingaryan, Narek Abelyan, Grigor Arakelov, Harutyun Sahakyan, Vahram G. Arakelov, Karen Nazaryan, Shaimaa Hussein, Gharam M. Alazmi, Haifa E. Alsharari, Waad M. Al-faraj, Faten S. Alruwaili, Nouf Q. Albilasi, Tahani S. Alsharari, Abdulaziz A. S. Alsaleh, Turki M. Alazmi, Atiah H. Almalki, Nasser H. Alotaibi, Mohamed A. Abdelgawad
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:2c1d4ac6a4d343049a08b2c705fe9f502021-12-02T16:06:41ZIdentification of non-classical hCA XII inhibitors using combination of computational approaches for drug design and discovery10.1038/s41598-021-94809-x2045-2322https://doaj.org/article/2c1d4ac6a4d343049a08b2c705fe9f502021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94809-xhttps://doaj.org/toc/2045-2322Abstract Human carbonic anhydrase XII (hCA XII) isozyme is of high therapeutic value as a pharmacological target and biomarker for different types of cancer. The hCA XII is one of the crucial effectors that regulates extracellular and intracellular pH and affects cancer cell proliferation, invasion, growth and metastasis. Despite the fact that interaction features of hCAs inhibitors with the catalytic site of the enzyme are well described, lack in the selectivity of the traditional hCA inhibitors based on the sulfonamide group or related motifs is an urgent issue. Moreover, drugs containing sulfanomides can cause sulfa allergies. Thus, identification of novel non-classical inhibitors of hCA XII is of high priority and is currently the subject of a vast field of study. This study was devoted to the identification of novel potential hCA XII inhibitors using comprehensive set of computational approaches for drug design discovery: generation and validation of structure- and ligand-based pharmacophore models, molecular docking, re-scoring of virtual screening results with MMGBSA, molecular dynamics simulations, etc. As the results of the study several compounds with alternative to classical inhibitors chemical scaffolds, in particular one of coumarins derivative, have been identified and are of high interest as potential non-classical hCA XII inhibitors.Mohammad M. Al-SaneaGarri ChilingaryanNarek AbelyanGrigor ArakelovHarutyun SahakyanVahram G. ArakelovKaren NazaryanShaimaa HusseinGharam M. AlazmiHaifa E. AlsharariWaad M. Al-farajFaten S. AlruwailiNouf Q. AlbilasiTahani S. AlsharariAbdulaziz A. S. AlsalehTurki M. AlazmiAtiah H. AlmalkiNasser H. AlotaibiMohamed A. AbdelgawadNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Mohammad M. Al-Sanea
Garri Chilingaryan
Narek Abelyan
Grigor Arakelov
Harutyun Sahakyan
Vahram G. Arakelov
Karen Nazaryan
Shaimaa Hussein
Gharam M. Alazmi
Haifa E. Alsharari
Waad M. Al-faraj
Faten S. Alruwaili
Nouf Q. Albilasi
Tahani S. Alsharari
Abdulaziz A. S. Alsaleh
Turki M. Alazmi
Atiah H. Almalki
Nasser H. Alotaibi
Mohamed A. Abdelgawad
Identification of non-classical hCA XII inhibitors using combination of computational approaches for drug design and discovery
description Abstract Human carbonic anhydrase XII (hCA XII) isozyme is of high therapeutic value as a pharmacological target and biomarker for different types of cancer. The hCA XII is one of the crucial effectors that regulates extracellular and intracellular pH and affects cancer cell proliferation, invasion, growth and metastasis. Despite the fact that interaction features of hCAs inhibitors with the catalytic site of the enzyme are well described, lack in the selectivity of the traditional hCA inhibitors based on the sulfonamide group or related motifs is an urgent issue. Moreover, drugs containing sulfanomides can cause sulfa allergies. Thus, identification of novel non-classical inhibitors of hCA XII is of high priority and is currently the subject of a vast field of study. This study was devoted to the identification of novel potential hCA XII inhibitors using comprehensive set of computational approaches for drug design discovery: generation and validation of structure- and ligand-based pharmacophore models, molecular docking, re-scoring of virtual screening results with MMGBSA, molecular dynamics simulations, etc. As the results of the study several compounds with alternative to classical inhibitors chemical scaffolds, in particular one of coumarins derivative, have been identified and are of high interest as potential non-classical hCA XII inhibitors.
format article
author Mohammad M. Al-Sanea
Garri Chilingaryan
Narek Abelyan
Grigor Arakelov
Harutyun Sahakyan
Vahram G. Arakelov
Karen Nazaryan
Shaimaa Hussein
Gharam M. Alazmi
Haifa E. Alsharari
Waad M. Al-faraj
Faten S. Alruwaili
Nouf Q. Albilasi
Tahani S. Alsharari
Abdulaziz A. S. Alsaleh
Turki M. Alazmi
Atiah H. Almalki
Nasser H. Alotaibi
Mohamed A. Abdelgawad
author_facet Mohammad M. Al-Sanea
Garri Chilingaryan
Narek Abelyan
Grigor Arakelov
Harutyun Sahakyan
Vahram G. Arakelov
Karen Nazaryan
Shaimaa Hussein
Gharam M. Alazmi
Haifa E. Alsharari
Waad M. Al-faraj
Faten S. Alruwaili
Nouf Q. Albilasi
Tahani S. Alsharari
Abdulaziz A. S. Alsaleh
Turki M. Alazmi
Atiah H. Almalki
Nasser H. Alotaibi
Mohamed A. Abdelgawad
author_sort Mohammad M. Al-Sanea
title Identification of non-classical hCA XII inhibitors using combination of computational approaches for drug design and discovery
title_short Identification of non-classical hCA XII inhibitors using combination of computational approaches for drug design and discovery
title_full Identification of non-classical hCA XII inhibitors using combination of computational approaches for drug design and discovery
title_fullStr Identification of non-classical hCA XII inhibitors using combination of computational approaches for drug design and discovery
title_full_unstemmed Identification of non-classical hCA XII inhibitors using combination of computational approaches for drug design and discovery
title_sort identification of non-classical hca xii inhibitors using combination of computational approaches for drug design and discovery
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/2c1d4ac6a4d343049a08b2c705fe9f50
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