2008
DOI: 10.1016/j.jtbi.2008.05.037
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A computational model of antibiotic-resistance mechanisms in Methicillin-Resistant Staphylococcus aureus (MRSA)

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Cited by 31 publications
(25 citation statements)
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“…Staphylococcus pseudintermedius is occasionally isolated from serious human infections, and the emergence and spread of both meticillin‐resistant S. pseudintermedius (MRSP) strains and meticillin‐resistant Staphylococcus aureus (MRSA) are major veterinary and public health issues 8 . Meticillin resistance is of particular relevance because it is conferred by the presence of the mecA gene, which encodes for production of an altered penicillin binding protein (PBP2a) with a low affinity for all β‐lactam antimicrobials 9–11 . The emergence and dissemination of antimicrobial resistance amongst staphylococci is an important problem in human and veterinary medicine 1,8,11,12 .…”
Section: Introductionmentioning
confidence: 99%
“…Staphylococcus pseudintermedius is occasionally isolated from serious human infections, and the emergence and spread of both meticillin‐resistant S. pseudintermedius (MRSP) strains and meticillin‐resistant Staphylococcus aureus (MRSA) are major veterinary and public health issues 8 . Meticillin resistance is of particular relevance because it is conferred by the presence of the mecA gene, which encodes for production of an altered penicillin binding protein (PBP2a) with a low affinity for all β‐lactam antimicrobials 9–11 . The emergence and dissemination of antimicrobial resistance amongst staphylococci is an important problem in human and veterinary medicine 1,8,11,12 .…”
Section: Introductionmentioning
confidence: 99%
“…Another key component of methicillin-resistant mechanism is an acquired penicillin-binding protein (PBP), PBP-2′, which has unusually low affinity for all β -lactam antibiotics and most other antibiotics [88]. We have elucidated the distinctive structural features of PBP-2′ protein which can be exploited as chemotherapeutic targets for MSRA.…”
Section: Discussionmentioning
confidence: 99%
“…To explore the effect of these processes, explicitly tracking local epidemiological dynamics across a continuous spatial gradient (as in Smith et al, 2004 andDébarre et al, 2009), as well as approaches based on pair approximations (e.g.,. Sato, Matsuda, & Sasaki, 1994;Levin & Durrett, 1996;Bolker & Pacala, 1997) or even spatially explicit, agent-based stochastic simulations and cellular automata (e.g., Hotchkiss, Strike, Simonson, Broccard, & Crooke, 2005;Murphy, Walshe, & Devocelle, 2008), may complement the patch-occupancy-based models we have proposed here to studying the spatial spread of antimicrobial resistance. Such detailed, stochastic simulations are needed to assess how implementing some of the strategies we explore (e.g., restraining migration or altering the global fitness costs) are likely to slow the spread of antimicrobial resistance in space under more realistic conditions.…”
Section: Models Inmentioning
confidence: 95%