ISSN : 0970 - 020X, ONLINE ISSN : 2231-5039
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Abstract

In Silico Characterization, Identification, and Molecular-level Analysis of Holotricin-3: A Dynamic Study

Ripu Daman1 and Sameer Sharma2*

DOI : http://dx.doi.org/10.13005/ojc/380317


Abstract:

Candida albicans, a prominent fungal infection, induces a wide range of illnesses, ranging from moderate mucosal irritation to fatal systemic problems. The yeast-to-hypha transformation is greatly studied in the C. albicans pathogenicity. It is, nevertheless, an unscrupulous disease that can induce lethal bloodstream infections. Fungi have major applications in industrial, medical and agricultural fields. They are utilized in the synthesis of peptides, micronutrients, metabolites, phenolics and other organic compounds. The current study has incorporated the implementation of bioinformatics techniques to analyse the molecular level binding of Holotricin-3 against the anti-fungal proteins. The findings of the study revealed that Holotricin-3 had highest binding with BgI2p and the findings were further validated by molecular dynamic studies. These observations can be used to implement in-vitro experiments.

Keywords:

C. albicans, Holotricin-3; Molecular Docking; Pharmacoinformatics; Schrodinger

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