Year: 2025
Type: article
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.
Authors: Ranjana Sahu, Anubhuti Jha, Monika Nirmalkar
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409395105