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Rational identification of small molecules derived from 9,10-dihydrophenanthrene as potential inhibitors of 3CL(pro) enzyme for COVID-19 therapy: a computer-aided drug design approach

Small molecules such as 9,10-dihydrophenanthrene derivatives have remarkable activity toward inhibition of SARS-CoV-2 3CL(pro) and COVID-19 proliferation, which show a strong correlation between their structures and bioactivity. Therefore, these small compounds could be suitable for clinical pharmac...

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Autores principales: Daoui, Ossama, Elkhattabi, Souad, Chtita, Samir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261181/
https://www.ncbi.nlm.nih.gov/pubmed/35818588
http://dx.doi.org/10.1007/s11224-022-02004-z
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author Daoui, Ossama
Elkhattabi, Souad
Chtita, Samir
author_facet Daoui, Ossama
Elkhattabi, Souad
Chtita, Samir
author_sort Daoui, Ossama
collection PubMed
description Small molecules such as 9,10-dihydrophenanthrene derivatives have remarkable activity toward inhibition of SARS-CoV-2 3CL(pro) and COVID-19 proliferation, which show a strong correlation between their structures and bioactivity. Therefore, these small compounds could be suitable for clinical pharmaceutical use against COVID-19. The objective of this study was to remodel the structures of 9,10-dihydrophenanthrene derivatives to achieve a powerful biological activity against 3CL(pro) and favorable pharmacokinetic properties for drug design and discovery. Therefore, by the use of bioinformatics techniques, we developed robust 3D-QSAR models that are capable of describing the structure–activity relationship for 46 molecules based on 9,10-dihydrophenanthrene derivatives using CoMFA/SE (R(2) = 0.97, Q(2) = 0.81, R(2)(pred) = 0.95, (c)R(2)(p) = 0.71) and CoMSIA/SEHDA (R(2) = 0.94, Q(2) = 0.76, R(2)(pred) = 0.91, (c)R(2)(p) = 0.65) techniques. Accordingly, 96 lead compounds were generated based on a template molecule that showed the highest observed activity in vitro (T40, pIC(50) = 5.81) and predicted their activities and bioavailability in silico. The rational screening outputs of 3D-QSAR, Molecular docking, ADMET, and MM-GBSA led to the identification of 9 novel modeled molecules as potent noncovalent drugs against SARS-CoV-2-3CL(pro). Finally, by molecular dynamics simulations, the stability and structural dynamics of 3CL(pro) free and complex (PDB code: 6LU7) were discussed in the presence of samples of 9,10-dihydrophenanthrene derivative in an aqueous environment. Overall, the retrosynthesis of the proposed drug compounds in this study and the evaluation of their bioactivity in vitro and in vivo may be interesting for designing and discovering a new drug effective against COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11224-022-02004-z.
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spelling pubmed-92611812022-07-07 Rational identification of small molecules derived from 9,10-dihydrophenanthrene as potential inhibitors of 3CL(pro) enzyme for COVID-19 therapy: a computer-aided drug design approach Daoui, Ossama Elkhattabi, Souad Chtita, Samir Struct Chem Original Research Small molecules such as 9,10-dihydrophenanthrene derivatives have remarkable activity toward inhibition of SARS-CoV-2 3CL(pro) and COVID-19 proliferation, which show a strong correlation between their structures and bioactivity. Therefore, these small compounds could be suitable for clinical pharmaceutical use against COVID-19. The objective of this study was to remodel the structures of 9,10-dihydrophenanthrene derivatives to achieve a powerful biological activity against 3CL(pro) and favorable pharmacokinetic properties for drug design and discovery. Therefore, by the use of bioinformatics techniques, we developed robust 3D-QSAR models that are capable of describing the structure–activity relationship for 46 molecules based on 9,10-dihydrophenanthrene derivatives using CoMFA/SE (R(2) = 0.97, Q(2) = 0.81, R(2)(pred) = 0.95, (c)R(2)(p) = 0.71) and CoMSIA/SEHDA (R(2) = 0.94, Q(2) = 0.76, R(2)(pred) = 0.91, (c)R(2)(p) = 0.65) techniques. Accordingly, 96 lead compounds were generated based on a template molecule that showed the highest observed activity in vitro (T40, pIC(50) = 5.81) and predicted their activities and bioavailability in silico. The rational screening outputs of 3D-QSAR, Molecular docking, ADMET, and MM-GBSA led to the identification of 9 novel modeled molecules as potent noncovalent drugs against SARS-CoV-2-3CL(pro). Finally, by molecular dynamics simulations, the stability and structural dynamics of 3CL(pro) free and complex (PDB code: 6LU7) were discussed in the presence of samples of 9,10-dihydrophenanthrene derivative in an aqueous environment. Overall, the retrosynthesis of the proposed drug compounds in this study and the evaluation of their bioactivity in vitro and in vivo may be interesting for designing and discovering a new drug effective against COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11224-022-02004-z. Springer US 2022-07-07 2022 /pmc/articles/PMC9261181/ /pubmed/35818588 http://dx.doi.org/10.1007/s11224-022-02004-z Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Research
Daoui, Ossama
Elkhattabi, Souad
Chtita, Samir
Rational identification of small molecules derived from 9,10-dihydrophenanthrene as potential inhibitors of 3CL(pro) enzyme for COVID-19 therapy: a computer-aided drug design approach
title Rational identification of small molecules derived from 9,10-dihydrophenanthrene as potential inhibitors of 3CL(pro) enzyme for COVID-19 therapy: a computer-aided drug design approach
title_full Rational identification of small molecules derived from 9,10-dihydrophenanthrene as potential inhibitors of 3CL(pro) enzyme for COVID-19 therapy: a computer-aided drug design approach
title_fullStr Rational identification of small molecules derived from 9,10-dihydrophenanthrene as potential inhibitors of 3CL(pro) enzyme for COVID-19 therapy: a computer-aided drug design approach
title_full_unstemmed Rational identification of small molecules derived from 9,10-dihydrophenanthrene as potential inhibitors of 3CL(pro) enzyme for COVID-19 therapy: a computer-aided drug design approach
title_short Rational identification of small molecules derived from 9,10-dihydrophenanthrene as potential inhibitors of 3CL(pro) enzyme for COVID-19 therapy: a computer-aided drug design approach
title_sort rational identification of small molecules derived from 9,10-dihydrophenanthrene as potential inhibitors of 3cl(pro) enzyme for covid-19 therapy: a computer-aided drug design approach
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261181/
https://www.ncbi.nlm.nih.gov/pubmed/35818588
http://dx.doi.org/10.1007/s11224-022-02004-z
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