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These proteins play critical roles in regulating post-transcriptional processes; however, their significance in bacteria, particularly in pathogenic strains, remains poorly understood. This gap necessitates a comprehensive exploration of RBPs in bacterial pathogens such as\n                    <jats:italic>S. aureus<\/jats:italic>\n                    better to understand their potential contributions to virulence and adaptability. In this study, a bioinformatics-based analysis of the genomes and proteomes of 51 pathogenic\n                    <jats:italic>S. aureus<\/jats:italic>\n                    strains was conducted, focusing on their RNA-binding proteome (RBPome). The pathogenicity of all analyzed strains was confirmed, and both known and putative virulence genes were identified. In addition, strains were categorized as drug-resistant or drug-sensitive based on genomic data, providing insights into their genetic variation. Phylogenetic analysis based on single-nucleotide polymorphism (SNP) data revealed distinct groupings of major clonal complexes, highlighting evolutionary relationships among the strains. Eight conserved RNA-binding proteins were identified, and their RNA-binding domains and molecular dynamics were predicted. Notable differences in molecular phylogeny, RNA-binding domains, and dynamics were observed in cold shock proteins A and B and S1 RNA-binding domain proteins between resistant and sensitive strains. These findings suggest that RNA-binding proteins may play important roles in the pathogenicity and adaptability of\n                    <jats:italic>S. aureus<\/jats:italic>\n                    and could be potential molecular targets for future therapeutic strategies.\n                  <\/jats:p>","DOI":"10.1007\/s00253-026-13906-x","type":"journal-article","created":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T12:05:36Z","timestamp":1782302736000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Comparative genomic analysis of RNA-binding proteins across some drug resistant and sensitive Staphylococcus aureus"],"prefix":"10.1007","volume":"110","author":[{"given":"Magda M.","family":"Awad","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yehia A.","family":"Osman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohamed","family":"Abdelmoteleb","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,24]]},"reference":[{"key":"13906_CR1","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.softx.2015.06.001","volume":"1","author":"MJ Abraham","year":"2015","unstructured":"Abraham MJ, Murtola T, Schulz R, P\u00e1ll S, Smith JC, Hess B, Lindahl E (2015) GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers. 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