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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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Analysis of the mecA Gene Conferring Methicillin Resistance in Staphylococcus aureus

Authors: Kumar, Sonu;

Analysis of the mecA Gene Conferring Methicillin Resistance in Staphylococcus aureus

Abstract

This study presents an in-silico analysis of the MecA drug resistance gene from Staphylococcus aureus, the key determinant of methicillin resistance. The complete gene sequence (1,800 bp; GC% = 33.67) was retrieved from NCBI and translated using Expasy tools, resulting in a 600-amino-acid protein with a molecular weight of 76.1 kDa and a theoretical isoelectric point (pI) of 8.70. Multiple sequence alignment using Clustal Omega revealed 99.2% identity among MecA homologs, confirming its strong evolutionary conservation. The 3D protein model generated by SWISS-MODEL (based on AlphaFold v2 template, GMQE = 0.81, similarity = 60%) indicated a stable monomeric structure preserving the penicillin-binding domain responsible for β-lactam resistance. Overall, this computational study highlights the structural stability and functional conservation of MecA, providing a theoretical foundation for drug design and inhibitor modeling aimed at combating methicillin-resistant S. aureus (MRSA).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green