Deciphering Protein drug Targets for Mucormycosis: A Computational Approach

Author(s)	Dr. Ranjana Sahu, Dr. Anubhuti Jha, Ms. Monika Nirmalkar
Country	India
Abstract	A serious public health issue worldwide, Mucormycosis is a potentially fatal fungal infection that is especially dangerous for people with weakened immune systems. Developing successful treatment plans requires identifying possible protein targets for therapeutic action against the substances causing Mucormycosis. Here, we describe a methodical approach to in silico protein target discovery in Mucorcircinelloides, the causative agent of Mucormycosis. To find candidate proteins necessary for these infections' survival and pathogenicity, we analyzed proteomic data using subtractive proteomics approach aided by bioinformatics tools and databases. To rank possible therapeutic targets, we used sequence analysis, protein-protein interaction prediction, and functional annotation.
Keywords	Mucormycosis, Mucorcircinelloides, Proteomics
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-12
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.41250
Short DOI	https://doi.org/g9fcdz

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International Journal For Multidisciplinary Research