Diverse mutant selection windows shape spatial heterogeneity in evolving populations.

ABSTRACT: Mutant selection windows (MSWs), the range of drug concentrations that select for drug-resistant mutants, have long been used as a model for predicting drug resistance and designing optimal dosing strategies in infectious disease. The canonical MSW model offers comparisons between two subtypes at a time: drug-sensitive and drug-resistant. In contrast, the fitness landscape model with N alleles, which maps genotype to fitness, allows comparisons between N genotypes simultaneously, but does not encode continuous drug response data. In clinical settings, there may be a wide range of drug concentrations selecting for a variety of genotypes. Therefore, there is a need for a more robust model of the pathogen response to therapy to predict resistance and design new therapeutic appro

SUBMITTER: King ES 

PROVIDER: S-EPMC10508720 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature