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Mapping the Protein Interaction Network in Methicillin-Resistant Staphylococcus aureus

2010; American Chemical Society; Volume: 10; Issue: 3 Linguagem: Inglês

10.1021/pr100918u

1535-3907

Artem Cherkasov, Michael Hsing, Roya Zoraghi, Leonard J. Foster, Raymond H. See, Nikolay Stoynov, Jihong Jiang, Sukhbir Kaur, Tian Lian, Linda Jackson, Huansheng Gong, Richard D. Swayze, Emily Amandoron, Farhad Hormozdiari, Phuong Dao, Cenk Sahinalp, Osvaldo A. Santos‐Filho, Peter Axerio-Cilies, Kendall Byler, W. Robert McMaster, Robert C. Brunham, B. Brett Finlay, Neil E. Reiner,

Computational Drug Discovery Methods

Mortality attributable to infection with methicillin-resistant Staphylococcus aureus (MRSA) has now overtaken the death rate for AIDS in the United States, and advances in research are urgently needed to address this challenge. We report the results of the systematic identification of protein-protein interactions for the hospital-acquired strain MRSA-252. Using a high-throughput pull-down strategy combined with quantitative proteomics to distinguish specific from nonspecific interactors, we identified 13,219 interactions involving 608 MRSA proteins. Consecutive analyses revealed that this protein interaction network (PIN) exhibits scale-free organization with the characteristic presence of highly connected hub proteins. When clinical and experimental antimicrobial targets were queried in the network, they were generally found to occupy peripheral positions in the PIN with relatively few interacting partners. In contrast, the hub proteins identified in this MRSA PIN that are essential for network integrity and stability have largely been overlooked as drug targets. Thus, this empirical MRSA-252 PIN provides a rich source for identifying critical proteins essential for network stability, many of which can be considered as prospective antimicrobial drug targets.