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Antifungal Indole and Pyrrolidine-2,4-Dione Derivative Peptidomimetic Lead Design Based on In Silico Study of Bioactive Peptide Families

BACKGROUND: The rise of opportunistic fungal infections highlights the need for development of new antimicrobial agents. Antimicrobial Peptides (AMPs) and Antifungal Peptides (AFPs) are among the agents with minimal resistance being developed against them, therefore they can be used as structural te...

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Detalles Bibliográficos
Autores principales: Moradi, Shoeib, Azerang, Parisa, Khalaj, Vahid, Sardari, Soroush
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Avicenna Research Institute 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572706/
https://www.ncbi.nlm.nih.gov/pubmed/23626876
Descripción
Sumario:BACKGROUND: The rise of opportunistic fungal infections highlights the need for development of new antimicrobial agents. Antimicrobial Peptides (AMPs) and Antifungal Peptides (AFPs) are among the agents with minimal resistance being developed against them, therefore they can be used as structural templates for design of new antimicrobial agents. METHODS: In the present study four antifungal peptidomimetic structures named C(1) to C(4) were designed based on plant defensin of Pisum sativum. Minimum inhibitory concentrations (MICs) for these structures were determined against Aspergillus niger N402, Candida albicans ATCC 10231, and Saccharomyces cerevisiae PTCC 5052. RESULTS: C(1) and C(2) showed more potent antifungal activity against these fungal strains compared to C(3) and C(4). The structure C(2) demonstrated a potent antifungal activity among them and could be used as a template for future study on antifungal peptidomemetics design. Sequences alignments led to identifying antifungal decapeptide (KTCENLADTY) named KTC-Y, which its MIC was determined on fungal protoplast showing 25 (µg/ml) against Aspergillus fumigatus Af293. CONCLUSION: The present approach to reach the antifungal molecules seems to be a powerful approach in design of bioactive agents based on AMP mimetic identification.