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In Silico Identification of 1-DTP Inhibitors of Corynebacterium diphtheriae Using Phytochemicals from Andrographis paniculata

A number of phytochemicals have been identified as promising drug molecules against a variety of diseases using an in-silico approach. The current research uses this approach to identify the phyto-derived drugs from Andrographis paniculata (Burm. f.) Wall. ex Nees (AP) for the treatment of diphtheri...

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Autores principales: Al-Khayri, Jameel M., Dubey, Sakshi, Thirumoorthy, Gopishankar, Nagella, Praveen, Rezk, Adel Abdel-Sabour, Shehata, Wael Fathi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862189/
https://www.ncbi.nlm.nih.gov/pubmed/36677967
http://dx.doi.org/10.3390/molecules28020909
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author Al-Khayri, Jameel M.
Dubey, Sakshi
Thirumoorthy, Gopishankar
Nagella, Praveen
Rezk, Adel Abdel-Sabour
Shehata, Wael Fathi
author_facet Al-Khayri, Jameel M.
Dubey, Sakshi
Thirumoorthy, Gopishankar
Nagella, Praveen
Rezk, Adel Abdel-Sabour
Shehata, Wael Fathi
author_sort Al-Khayri, Jameel M.
collection PubMed
description A number of phytochemicals have been identified as promising drug molecules against a variety of diseases using an in-silico approach. The current research uses this approach to identify the phyto-derived drugs from Andrographis paniculata (Burm. f.) Wall. ex Nees (AP) for the treatment of diphtheria. In the present study, 18 bioactive molecules from Andrographis paniculata (obtained from the PubChem database) were docked against the diphtheria toxin using the AutoDock vina tool. Visualization of the top four molecules with the best dockscore, namely bisandrographolide (−10.4), andrographiside (−9.5), isoandrographolide (−9.4), and neoandrographolide (−9.1), helps gain a better understanding of the molecular interactions. Further screening using molecular dynamics simulation studies led to the identification of bisandrographolide and andrographiside as hit compounds. Investigation of pharmacokinetic properties, mainly ADMET, along with Lipinski’s rule and binding affinity considerations, narrowed down the search for a potent drug to bisandrographolide, which was the only molecule to be negative for AMES toxicity. Thus, further modification of this compound followed by in vitro and in vivo studies can be used to examine itseffectiveness against diphtheria.
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spelling pubmed-98621892023-01-22 In Silico Identification of 1-DTP Inhibitors of Corynebacterium diphtheriae Using Phytochemicals from Andrographis paniculata Al-Khayri, Jameel M. Dubey, Sakshi Thirumoorthy, Gopishankar Nagella, Praveen Rezk, Adel Abdel-Sabour Shehata, Wael Fathi Molecules Article A number of phytochemicals have been identified as promising drug molecules against a variety of diseases using an in-silico approach. The current research uses this approach to identify the phyto-derived drugs from Andrographis paniculata (Burm. f.) Wall. ex Nees (AP) for the treatment of diphtheria. In the present study, 18 bioactive molecules from Andrographis paniculata (obtained from the PubChem database) were docked against the diphtheria toxin using the AutoDock vina tool. Visualization of the top four molecules with the best dockscore, namely bisandrographolide (−10.4), andrographiside (−9.5), isoandrographolide (−9.4), and neoandrographolide (−9.1), helps gain a better understanding of the molecular interactions. Further screening using molecular dynamics simulation studies led to the identification of bisandrographolide and andrographiside as hit compounds. Investigation of pharmacokinetic properties, mainly ADMET, along with Lipinski’s rule and binding affinity considerations, narrowed down the search for a potent drug to bisandrographolide, which was the only molecule to be negative for AMES toxicity. Thus, further modification of this compound followed by in vitro and in vivo studies can be used to examine itseffectiveness against diphtheria. MDPI 2023-01-16 /pmc/articles/PMC9862189/ /pubmed/36677967 http://dx.doi.org/10.3390/molecules28020909 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Al-Khayri, Jameel M.
Dubey, Sakshi
Thirumoorthy, Gopishankar
Nagella, Praveen
Rezk, Adel Abdel-Sabour
Shehata, Wael Fathi
In Silico Identification of 1-DTP Inhibitors of Corynebacterium diphtheriae Using Phytochemicals from Andrographis paniculata
title In Silico Identification of 1-DTP Inhibitors of Corynebacterium diphtheriae Using Phytochemicals from Andrographis paniculata
title_full In Silico Identification of 1-DTP Inhibitors of Corynebacterium diphtheriae Using Phytochemicals from Andrographis paniculata
title_fullStr In Silico Identification of 1-DTP Inhibitors of Corynebacterium diphtheriae Using Phytochemicals from Andrographis paniculata
title_full_unstemmed In Silico Identification of 1-DTP Inhibitors of Corynebacterium diphtheriae Using Phytochemicals from Andrographis paniculata
title_short In Silico Identification of 1-DTP Inhibitors of Corynebacterium diphtheriae Using Phytochemicals from Andrographis paniculata
title_sort in silico identification of 1-dtp inhibitors of corynebacterium diphtheriae using phytochemicals from andrographis paniculata
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862189/
https://www.ncbi.nlm.nih.gov/pubmed/36677967
http://dx.doi.org/10.3390/molecules28020909
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