Drug interactions modulate the potential for evolution of resistance. - Wikidata - wikimedia - TriplyDB

Drug interactions modulate the potential for evolution of resistance.

Drug interactions modulate the potential for evolution of resistance.

http://www.wikidata.org/entity/Q36937085

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Evolutionary rescue: linking theory for conservation and medicine Viral quasispecies evolution Combination therapies for combating antimicrobial resistance Combination therapeutics in complex diseases Optimal drug synergy in antimicrobial treatments Two-drug antimicrobial chemotherapy: a mathematical model and experiments with Mycobacterium marinum Genetic and genomic architecture of the evolution of resistance to antifungal drug combinations Resource competition may lead to effective treatment of antibiotic resistant infections A population model evaluating the consequences of the evolution of double-resistance and tradeoffs on the benefits of two-drug antibiotic treatments Insect Antimicrobial Peptide Complexes Prevent Resistance Development in Bacteria Population Density Modulates Drug Inhibition and Gives Rise to Potential Bistability of Treatment Outcomes for Bacterial Infections Sequence-Specific Targeting of Bacterial Resistance Genes Increases Antibiotic Efficacy Applying evolutionary biology to address global challenges.Regulation of phenotypic variability by a threshold-based mechanism underlies bacterial persistence.Circuit-level input integration in bacterial gene regulation.Positive epistasis drives the acquisition of multidrug resistance.Investigation of antimicrobial use at a tertiary care hospital in Southern Punjab, Pakistan using WHO methodology.Nonoptimal microbial response to antibiotics underlies suppressive drug interactions.Drug interactions and the evolution of antibiotic resistance.Evaluation of Camellia sinensis catechins as a swine antimicrobial feed additive that does not cause antibiotic resistance.Multidrug evolutionary strategies to reverse antibiotic resistance.Comparative supragenomic analyses among the pathogens Staphylococcus aureus, Streptococcus pneumoniae, and Haemophilus influenzae using a modification of the finite supragenome model Trade-offs between drug toxicity and benefit in the multi-antibiotic resistance system underlie optimal growth of E. coli Implications of stress-induced genetic variation for minimizing multidrug resistance in bacteria Alternating antibiotic treatments constrain evolutionary paths to multidrug resistance Malaria biology and disease pathogenesis: insights for new treatments.Selective advantage of resistant strains at trace levels of antibiotics: a simple and ultrasensitive color test for detection of antibiotics and genotoxic agents.Mapping differentiation under mixed culture conditions reveals a tunable continuum of T cell fates Novel protocol for persister cells isolation.A window of opportunity to control the bacterial pathogen Pseudomonas aeruginosa combining antibiotics and phages.Imperfect drug penetration leads to spatial monotherapy and rapid evolution of multidrug resistance.Distinct growth strategies of soil bacteria as revealed by large-scale colony tracking.Prediction of resistance development against drug combinations by collateral responses to component drugs.Combination Effects of Antimicrobial Peptides.Antimicrobial combinations: Bliss independence and Loewe additivity derived from mechanistic multi-hit models.Antagonism screen for inhibitors of bacterial cell wall biogenesis uncovers an inhibitor of undecaprenyl diphosphate synthase.Selective pressure of antibiotic pollution on bacteria of importance to public health.When more is less: Emergent suppressive interactions in three-drug combinations.Antiretroviral dynamics determines HIV evolution and predicts therapy outcome.Evolutionary paths to antibiotic resistance under dynamically sustained drug selection

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P2860

Drug interactions modulate the potential for evolution of resistance.

http://www.wikidata.org/entity/Q36937085

description

2008 nî lūn-bûn

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2008年の論文

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2008年論文

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2008年论文

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2008年论文

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2008年论文

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name

Drug interactions modulate the potential for evolution of resistance.

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Drug interactions modulate the potential for evolution of resistance.

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Drug interactions modulate the potential for evolution of resistance.

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PNAS.0800944105

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Proceedings of the National Academy of Sciences of the United States of America

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Drug interactions modulate the potential for evolution of resistance.

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P2093

Jean-Baptiste Michel

http://www.w3.org/2001/XMLSchema#string

Pamela J Yeh

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Remy Chait

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Robert C Moellering

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Roy Kishony

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P2860

Resistance in Nonfermenting Gram-Negative Bacteria: Multidrug Resistance to the Maximum

Applied Evolution

Effect of fluoroquinolone concentration on selection of resistant mutants of Mycobacterium bovis BCG and Staphylococcus aureus

Mutant prevention concentration as a measure of fluoroquinolone potency against mycobacteria

Bacterial persistence as a phenotypic switch

HIV and AIDS: 20 years of science.

Mutant prevention concentrations of fluoroquinolones for clinical isolates of Streptococcus pneumoniae.

Principles for the buffering of genetic variation.

Clinical relevance of bacteriostatic versus bactericidal mechanisms of action in the treatment of Gram-positive bacterial infections.

Antimicrobial pharmacodynamics: critical interactions of 'bug and drug'.

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14918-14923

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scholarly article

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10.1073/PNAS.0800944105

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39

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105

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2008-09-24T00:00:00Z

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23278706

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18815368

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2567468

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