--- _id: '8930' abstract: - lang: eng text: Phenomenological relations such as Ohm’s or Fourier’s law have a venerable history in physics but are still scarce in biology. This situation restrains predictive theory. Here, we build on bacterial “growth laws,” which capture physiological feedback between translation and cell growth, to construct a minimal biophysical model for the combined action of ribosome-targeting antibiotics. Our model predicts drug interactions like antagonism or synergy solely from responses to individual drugs. We provide analytical results for limiting cases, which agree well with numerical results. We systematically refine the model by including direct physical interactions of different antibiotics on the ribosome. In a limiting case, our model provides a mechanistic underpinning for recent predictions of higher-order interactions that were derived using entropy maximization. We further refine the model to include the effects of antibiotics that mimic starvation and the presence of resistance genes. We describe the impact of a starvation-mimicking antibiotic on drug interactions analytically and verify it experimentally. Our extended model suggests a change in the type of drug interaction that depends on the strength of resistance, which challenges established rescaling paradigms. We experimentally show that the presence of unregulated resistance genes can lead to altered drug interaction, which agrees with the prediction of the model. While minimal, the model is readily adaptable and opens the door to predicting interactions of second and higher-order in a broad range of biological systems. article_processing_charge: No author: - first_name: Bor full_name: Kavcic, Bor id: 350F91D2-F248-11E8-B48F-1D18A9856A87 last_name: Kavcic orcid: 0000-0001-6041-254X citation: ama: Kavcic B. Analysis scripts and research data for the paper “Minimal biophysical model of combined antibiotic action.” 2020. doi:10.15479/AT:ISTA:8930 apa: Kavcic, B. (2020). Analysis scripts and research data for the paper “Minimal biophysical model of combined antibiotic action.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8930 chicago: Kavcic, Bor. “Analysis Scripts and Research Data for the Paper ‘Minimal Biophysical Model of Combined Antibiotic Action.’” Institute of Science and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8930. ieee: B. Kavcic, “Analysis scripts and research data for the paper ‘Minimal biophysical model of combined antibiotic action.’” Institute of Science and Technology Austria, 2020. ista: Kavcic B. 2020. Analysis scripts and research data for the paper ‘Minimal biophysical model of combined antibiotic action’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:8930. mla: Kavcic, Bor. Analysis Scripts and Research Data for the Paper “Minimal Biophysical Model of Combined Antibiotic Action.” Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8930. short: B. Kavcic, (2020). contributor: - contributor_type: supervisor first_name: Gašper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkačik orcid: 0000-0002-6699-1455 - contributor_type: supervisor first_name: Tobias id: 3E6DB97A-F248-11E8-B48F-1D18A9856A87 last_name: Bollenbach date_created: 2020-12-09T15:04:02Z date_published: 2020-12-10T00:00:00Z date_updated: 2024-02-21T12:41:42Z day: '10' ddc: - '570' department: - _id: GaTk doi: 10.15479/AT:ISTA:8930 file: - access_level: open_access checksum: 60a818edeffaa7da1ebf5f8fbea9ba18 content_type: application/zip creator: bkavcic date_created: 2020-12-09T15:00:19Z date_updated: 2020-12-09T15:00:19Z file_id: '8932' file_name: PLoSCompBiol2020_datarep.zip file_size: 315494370 relation: main_file success: 1 file_date_updated: 2020-12-09T15:00:19Z has_accepted_license: '1' keyword: - Escherichia coli - antibiotic combinations - translation - growth laws - drug interactions - bacterial physiology - translation inhibitors month: '12' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria related_material: record: - id: '8997' relation: used_in_publication status: public status: public title: Analysis scripts and research data for the paper "Minimal biophysical model of combined antibiotic action" tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2020' ...