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Antifungal Activities of Phytochemicals from Annona muricate (Sour Sop): Molecular Docking and Chemoinformatics Approach

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Fungal infection has become a persistent problem in humans and is sometimes life-threatening in immune-compromised individuals. This work aims to study phytochemicals from Annona muricata (sour sop) as probable antifungal agents against Candida albicans sterol 14α-demethylase target receptor by Computer Aided-Drug Design (CADD) approach using voriconazole and fluconazole as standard drugs. A modern method of drug discovery by molecular docking and chemoinformatics was used to screen 131 isolated phytochemicals with medicinal properties from Annona muricata against Candida albicans ‘sterol 14α-demethylase, a prominent target receptor for most anti-fungal drugs, towards the development of new anti-fungal therapeutic agents and a new approach to treat patients with fungal infections. The compounds were all subjected to analyses like ADMET, drug-likeness, bioactivity, oral-bioavailability and PASS. The results of the docking simulation and chemoinformatics analyses showed that muricin M (-7.9 kcal/mol), chlorogenic acid (-8.2 kcal/mol), roseoside (-8.5 kcal/mol) and caffeoylquinic acid (-8.1 kcal/mol) are potential drug candidates for treating fungal infections due to their excellent properties such as binding affinities, ADMET profile, drug-likeness, bioactivity, binding mode and interactions with the target receptor. Thus, muricin M, chlorogenic acid, roseoside and caffeoylquinic acid are recommended for further analyses towards the development of further antifungal drugs.
Title: Antifungal Activities of Phytochemicals from Annona muricate (Sour Sop): Molecular Docking and Chemoinformatics Approach
Description:
Fungal infection has become a persistent problem in humans and is sometimes life-threatening in immune-compromised individuals.
This work aims to study phytochemicals from Annona muricata (sour sop) as probable antifungal agents against Candida albicans sterol 14α-demethylase target receptor by Computer Aided-Drug Design (CADD) approach using voriconazole and fluconazole as standard drugs.
A modern method of drug discovery by molecular docking and chemoinformatics was used to screen 131 isolated phytochemicals with medicinal properties from Annona muricata against Candida albicans ‘sterol 14α-demethylase, a prominent target receptor for most anti-fungal drugs, towards the development of new anti-fungal therapeutic agents and a new approach to treat patients with fungal infections.
The compounds were all subjected to analyses like ADMET, drug-likeness, bioactivity, oral-bioavailability and PASS.
The results of the docking simulation and chemoinformatics analyses showed that muricin M (-7.
9 kcal/mol), chlorogenic acid (-8.
2 kcal/mol), roseoside (-8.
5 kcal/mol) and caffeoylquinic acid (-8.
1 kcal/mol) are potential drug candidates for treating fungal infections due to their excellent properties such as binding affinities, ADMET profile, drug-likeness, bioactivity, binding mode and interactions with the target receptor.
Thus, muricin M, chlorogenic acid, roseoside and caffeoylquinic acid are recommended for further analyses towards the development of further antifungal drugs.

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