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Driving backwards the evolution of antibiotic resistance
Author(s) -
Kishony Roy
Publication year - 2010
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.24.1_supplement.81.3
Subject(s) - antibiotics , drug resistance , drug , selection (genetic algorithm) , antibiotic resistance , intensive care medicine , resistance (ecology) , computational biology , medicine , biology , pharmacology , computer science , genetics , machine learning , ecology
The application of antibiotics is hindered by a well‐known “catch‐22”: The use of a drug promotes the emergence and spread of drug‐resistant mutants that ultimately render it ineffective. But is this problem inevitable? While certain combination therapies are known to be more effective than single drugs, the impact of drug interactions on the evolution of drug resistance is unclear. I will describe a combined theoretical‐experimental approach to understand drug interactions and their effect on the evolution of resistance. Our results demonstrate that certain drug interactions can diminish and even invert the selection pressure for antibiotic resistance.