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For: Meredith HR, Lopatkin AJ, Anderson DJ, You L. Bacterial temporal dynamics enable optimal design of antibiotic treatment. PLoS Comput Biol 2015;11:e1004201. [PMID: 25905796 DOI: 10.1371/journal.pcbi.1004201] [Cited by in Crossref: 26] [Cited by in F6Publishing: 17] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Mahmutovic A, Gillman AN, Lauksund S, Robson Moe NA, Manzi A, Storflor M, Abel Zur Wiesch P, Abel S. RESTAMP - Rate estimates by sequence-tag analysis of microbial populations. Comput Struct Biotechnol J 2021;19:1035-51. [PMID: 33613869 DOI: 10.1016/j.csbj.2021.01.017] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
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4 Hallinen KM, Karslake J, Wood KB. Delayed antibiotic exposure induces population collapse in enterococcal communities with drug-resistant subpopulations. Elife 2020;9:e52813. [PMID: 32207406 DOI: 10.7554/eLife.52813] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 4.5] [Reference Citation Analysis]
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6 Lin WH, Kussell E. Complex Interplay of Physiology and Selection in the Emergence of Antibiotic Resistance. Curr Biol 2016;26:1486-93. [PMID: 27212408 DOI: 10.1016/j.cub.2016.04.015] [Cited by in Crossref: 26] [Cited by in F6Publishing: 17] [Article Influence: 4.3] [Reference Citation Analysis]
7 Silverman JD, Durand HK, Bloom RJ, Mukherjee S, David LA. Dynamic linear models guide design and analysis of microbiota studies within artificial human guts. Microbiome 2018;6:202. [PMID: 30419949 DOI: 10.1186/s40168-018-0584-3] [Cited by in Crossref: 28] [Cited by in F6Publishing: 19] [Article Influence: 7.0] [Reference Citation Analysis]
8 Yu W, Hallinen KM, Wood KB. Interplay between Antibiotic Efficacy and Drug-Induced Lysis Underlies Enhanced Biofilm Formation at Subinhibitory Drug Concentrations. Antimicrob Agents Chemother 2018;62:e01603-17. [PMID: 29061740 DOI: 10.1128/AAC.01603-17] [Cited by in Crossref: 17] [Cited by in F6Publishing: 19] [Article Influence: 3.4] [Reference Citation Analysis]
9 Dean Z, Maltas J, Wood KB. Antibiotic interactions shape short-term evolution of resistance in E. faecalis. PLoS Pathog 2020;16:e1008278. [PMID: 32119717 DOI: 10.1371/journal.ppat.1008278] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 5.5] [Reference Citation Analysis]
10 Gjini E, Wood KB. Price equation captures the role of drug interactions and collateral effects in the evolution of multidrug resistance. Elife 2021;10:e64851. [PMID: 34289932 DOI: 10.7554/eLife.64851] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Marrec L, Bitbol AF. Quantifying the impact of a periodic presence of antimicrobial on resistance evolution in a homogeneous microbial population of fixed size. J Theor Biol 2018;457:190-8. [PMID: 30172688 DOI: 10.1016/j.jtbi.2018.08.040] [Cited by in Crossref: 9] [Cited by in F6Publishing: 5] [Article Influence: 2.3] [Reference Citation Analysis]
12 Greulich P, Doležal J, Scott M, Evans MR, Allen RJ. Predicting the dynamics of bacterial growth inhibition by ribosome-targeting antibiotics. Phys Biol 2017;14:065005. [PMID: 28714461 DOI: 10.1088/1478-3975/aa8001] [Cited by in Crossref: 14] [Cited by in F6Publishing: 9] [Article Influence: 2.8] [Reference Citation Analysis]
13 Lee AJ, Wang S, Meredith HR, Zhuang B, Dai Z, You L. Robust, linear correlations between growth rates and β-lactam-mediated lysis rates. Proc Natl Acad Sci U S A 2018;115:4069-74. [PMID: 29610312 DOI: 10.1073/pnas.1719504115] [Cited by in Crossref: 57] [Cited by in F6Publishing: 36] [Article Influence: 14.3] [Reference Citation Analysis]
14 Maltas J, Wood KB. Pervasive and diverse collateral sensitivity profiles inform optimal strategies to limit antibiotic resistance. PLoS Biol 2019;17:e3000515. [PMID: 31652256 DOI: 10.1371/journal.pbio.3000515] [Cited by in Crossref: 41] [Cited by in F6Publishing: 26] [Article Influence: 13.7] [Reference Citation Analysis]
15 Karslake J, Maltas J, Brumm P, Wood KB. Population Density Modulates Drug Inhibition and Gives Rise to Potential Bistability of Treatment Outcomes for Bacterial Infections. PLoS Comput Biol 2016;12:e1005098. [PMID: 27764095 DOI: 10.1371/journal.pcbi.1005098] [Cited by in Crossref: 48] [Cited by in F6Publishing: 37] [Article Influence: 8.0] [Reference Citation Analysis]
16 Wu F, Bethke JH, Wang M, You L. Quantitative and synthetic biology approaches to combat bacterial pathogens. Curr Opin Biomed Eng 2017;4:116-26. [PMID: 30263975 DOI: 10.1016/j.cobme.2017.10.007] [Cited by in Crossref: 2] [Article Influence: 0.5] [Reference Citation Analysis]
17 Srimani JK, Huang S, Lopatkin AJ, You L. Drug detoxification dynamics explain the postantibiotic effect. Mol Syst Biol 2017;13:948. [PMID: 29061668 DOI: 10.15252/msb.20177723] [Cited by in Crossref: 15] [Cited by in F6Publishing: 12] [Article Influence: 3.0] [Reference Citation Analysis]
18 Marrec L, Bitbol AF. Resist or perish: Fate of a microbial population subjected to a periodic presence of antimicrobial. PLoS Comput Biol 2020;16:e1007798. [PMID: 32275712 DOI: 10.1371/journal.pcbi.1007798] [Cited by in Crossref: 11] [Cited by in F6Publishing: 4] [Article Influence: 5.5] [Reference Citation Analysis]