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Identification of Potential Phytochemical/Antimicrobial Agents against Pseudoperonospora cubensis Causing Downy Mildew in Cucumber through In-Silico Docking

Compatibility interactions between the host and the fungal proteins are necessary to successfully establish a disease in plants by fungi or other diseases. Photochemical and antimicrobial substances are generally known to increase plant resilience, which is essential for eradicating fungus infection...

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Autores principales: Jhansirani, Nagaraju, Devappa, Venkatappa, Sangeetha, Chittarada Gopal, Sridhara, Shankarappa, Shankarappa, Kodegandlu Subbanna, Mohanraj, Mooventhiran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255482/
https://www.ncbi.nlm.nih.gov/pubmed/37299181
http://dx.doi.org/10.3390/plants12112202
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author Jhansirani, Nagaraju
Devappa, Venkatappa
Sangeetha, Chittarada Gopal
Sridhara, Shankarappa
Shankarappa, Kodegandlu Subbanna
Mohanraj, Mooventhiran
author_facet Jhansirani, Nagaraju
Devappa, Venkatappa
Sangeetha, Chittarada Gopal
Sridhara, Shankarappa
Shankarappa, Kodegandlu Subbanna
Mohanraj, Mooventhiran
author_sort Jhansirani, Nagaraju
collection PubMed
description Compatibility interactions between the host and the fungal proteins are necessary to successfully establish a disease in plants by fungi or other diseases. Photochemical and antimicrobial substances are generally known to increase plant resilience, which is essential for eradicating fungus infections. Through homology modeling and in silico docking analysis, we assessed 50 phytochemicals from cucumber (Cucumis sativus), 15 antimicrobial compounds from botanical sources, and six compounds from chemical sources against two proteins of Pseudoperonospora cubensis linked to cucumber downy mildew. Alpha and beta sheets made up the 3D structures of the two protein models. According to Ramachandran plot analysis, the QNE 4 effector protein model was considered high quality because it had 86.8% of its residues in the preferred region. The results of the molecular docking analysis showed that the QNE4 and cytochrome oxidase subunit 1 proteins of P. cubensis showed good binding affinities with glucosyl flavones, terpenoids and flavonoids from phytochemicals, antimicrobial compounds from botanicals (garlic and clove), and chemically synthesized compounds, indicating the potential for antifungal activity.
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spelling pubmed-102554822023-06-10 Identification of Potential Phytochemical/Antimicrobial Agents against Pseudoperonospora cubensis Causing Downy Mildew in Cucumber through In-Silico Docking Jhansirani, Nagaraju Devappa, Venkatappa Sangeetha, Chittarada Gopal Sridhara, Shankarappa Shankarappa, Kodegandlu Subbanna Mohanraj, Mooventhiran Plants (Basel) Article Compatibility interactions between the host and the fungal proteins are necessary to successfully establish a disease in plants by fungi or other diseases. Photochemical and antimicrobial substances are generally known to increase plant resilience, which is essential for eradicating fungus infections. Through homology modeling and in silico docking analysis, we assessed 50 phytochemicals from cucumber (Cucumis sativus), 15 antimicrobial compounds from botanical sources, and six compounds from chemical sources against two proteins of Pseudoperonospora cubensis linked to cucumber downy mildew. Alpha and beta sheets made up the 3D structures of the two protein models. According to Ramachandran plot analysis, the QNE 4 effector protein model was considered high quality because it had 86.8% of its residues in the preferred region. The results of the molecular docking analysis showed that the QNE4 and cytochrome oxidase subunit 1 proteins of P. cubensis showed good binding affinities with glucosyl flavones, terpenoids and flavonoids from phytochemicals, antimicrobial compounds from botanicals (garlic and clove), and chemically synthesized compounds, indicating the potential for antifungal activity. MDPI 2023-06-02 /pmc/articles/PMC10255482/ /pubmed/37299181 http://dx.doi.org/10.3390/plants12112202 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
Jhansirani, Nagaraju
Devappa, Venkatappa
Sangeetha, Chittarada Gopal
Sridhara, Shankarappa
Shankarappa, Kodegandlu Subbanna
Mohanraj, Mooventhiran
Identification of Potential Phytochemical/Antimicrobial Agents against Pseudoperonospora cubensis Causing Downy Mildew in Cucumber through In-Silico Docking
title Identification of Potential Phytochemical/Antimicrobial Agents against Pseudoperonospora cubensis Causing Downy Mildew in Cucumber through In-Silico Docking
title_full Identification of Potential Phytochemical/Antimicrobial Agents against Pseudoperonospora cubensis Causing Downy Mildew in Cucumber through In-Silico Docking
title_fullStr Identification of Potential Phytochemical/Antimicrobial Agents against Pseudoperonospora cubensis Causing Downy Mildew in Cucumber through In-Silico Docking
title_full_unstemmed Identification of Potential Phytochemical/Antimicrobial Agents against Pseudoperonospora cubensis Causing Downy Mildew in Cucumber through In-Silico Docking
title_short Identification of Potential Phytochemical/Antimicrobial Agents against Pseudoperonospora cubensis Causing Downy Mildew in Cucumber through In-Silico Docking
title_sort identification of potential phytochemical/antimicrobial agents against pseudoperonospora cubensis causing downy mildew in cucumber through in-silico docking
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255482/
https://www.ncbi.nlm.nih.gov/pubmed/37299181
http://dx.doi.org/10.3390/plants12112202
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