Linking spatial drug heterogeneity to microbial growth dynamics in theory and experiment.

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Title: Linking spatial drug heterogeneity to microbial growth dynamics in theory and experiment.
Authors: Hu Z; Department of Biophysics, University of Michigan, Ann Arbor, Michigan, United States of America.; Department of Mathematics, University of Michigan, Ann Arbor, Michigan, United States of America.; Center for the Study of Complex Systems, University of Michigan, Ann Arbor, Michigan, United States of America., Wu Y; Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, Michigan, United States of America., Freire T; Center for Computational and Stochastic Mathematics, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal., Gjini E; Center for Computational and Stochastic Mathematics, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal., Wood K; Department of Biophysics, University of Michigan, Ann Arbor, Michigan, United States of America.; Center for the Study of Complex Systems, University of Michigan, Ann Arbor, Michigan, United States of America.; Department of Physics, University of Michigan, Ann Arbor, Michigan, United States of America.
Source: PLoS computational biology [PLoS Comput Biol] 2026 Jan 20; Vol. 22 (1), pp. e1013896. Date of Electronic Publication: 2026 Jan 20 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1553-7358
DOI:10.1371/journal.pcbi.1013896