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Updated: Aug 17, 2026

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection
Published on: October 25, 2013
Bacterial resistance to penicillin G by decreased affinity of penicillin-binding proteins: a mathematical model
L Temime1, P Y Boëlle, P Courvalin
1Institut National de la Santé et de la Recherche Médicale, Unité 444, Paris, France. temime@u444.jussieu.fr
Abstract:
Streptococcus pneumoniae and Neisseria meningitidis have very similar mechanisms of resistance to penicillin G. Although penicillin resistance is now common in S. pneumoniae, it is still rare in N. meningitidis. Using a mathematical model, we studied determinants of this difference and attempted to anticipate trends in meningococcal resistance to penicillin G. The model predicted that pneumococcal resistance in a population similar to that of France might emerge after 20 years of widespread use of beta-lactam antibiotics; this period may vary from 10 to 30 years. The distribution of resistance levels became bimodal with time, a pattern that has been observed worldwide. The model suggests that simple differences in the natural history of colonization, interhuman contact, and exposure to beta-lactam antibiotics explain major differences in the epidemiology of resistance of S. pneumoniae and N. meningitidis.
Insights
Penicillin resistance is common in Streptococcus pneumoniae but rare in Neisseria meningitidis. Mathematical modeling suggests differences in colonization, contact, and antibiotic exposure explain this, predicting meningococcal resistance emergence within 10-30 years.
Area of Science:
- Microbiology
- Epidemiology
- Mathematical Modeling
Background:
- Streptococcus pneumoniae and Neisseria meningitidis share similar penicillin G resistance mechanisms.
- Penicillin resistance is prevalent in S. pneumoniae but uncommon in N. meningitidis.
Purpose of the Study:
- To investigate the factors contributing to the disparity in penicillin resistance between S. pneumoniae and N. meningitidis.
- To predict future trends in N. meningitidis resistance to penicillin G.
Main Methods:
- Utilized a mathematical model to simulate resistance development.
- Analyzed determinants such as colonization, interhuman contact, and beta-lactam antibiotic exposure.
Main Results:
- The model predicted the emergence of penicillin resistance in N. meningitidis within 10-30 years of widespread beta-lactam antibiotic use.
- Observed a bimodal distribution of resistance levels over time, consistent with global patterns.
Conclusions:
- Differences in colonization, contact rates, and antibiotic exposure significantly influence the epidemiology of penicillin resistance in these bacteria.
- Mathematical modeling provides insights into the differing resistance trends of S. pneumoniae and N. meningitidis.
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