{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T02:31:51Z","timestamp":1791340311831,"version":"4.3.1"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2015,4,1]],"date-time":"2015-04-01T00:00:00Z","timestamp":1427846400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2015,4,29]],"date-time":"2015-04-29T00:00:00Z","timestamp":1430265600000},"content-version":"vor","delay-in-days":28,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Austrian Science Fund","award":["P 27201\u2010B22"],"award-info":[{"award-number":["P 27201\u2010B22"]}]},{"name":"HFSP program","award":["RGP0042\/2013"],"award-info":[{"award-number":["RGP0042\/2013"]}]},{"name":"Marie Curie Career Integration","award":["303507"],"award-info":[{"award-number":["303507"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Mol Syst Biol"],"published-print":{"date-parts":[[2015,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Drug combinations are increasingly important in disease treatments, for combating drug resistance, and for elucidating fundamental relationships in cell physiology. When drugs are combined, their individual effects on cells may be amplified or weakened. Such drug interactions are crucial for treatment efficacy, but their underlying mechanisms remain largely unknown. To uncover the causes of drug interactions, we developed a systematic approach based on precise quantification of the individual and joint effects of antibiotics on growth of genome\u2010wide\n                    <jats:italic>Escherichia coli<\/jats:italic>\n                    gene deletion strains. We found that drug interactions between antibiotics representing the main modes of action are highly robust to genetic perturbation. This robustness is encapsulated in a general principle of bacterial growth, which enables the quantitative prediction of mutant growth rates under drug combinations. Rare violations of this principle exposed recurring cellular functions controlling drug interactions. In particular, we found that polysaccharide and ATP synthesis control multiple drug interactions with previously unexplained mechanisms, and small molecule adjuvants targeting these functions synthetically reshape drug interactions in predictable ways. These results provide a new conceptual framework for the design of multidrug combinations and suggest that there are universal mechanisms at the heart of most drug interactions.\n                  <\/jats:p>","DOI":"10.15252\/msb.20156098","type":"journal-article","created":{"date-parts":[[2015,4,29]],"date-time":"2015-04-29T22:02:11Z","timestamp":1430344931000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":87,"title":["Systematic discovery of drug interaction mechanisms"],"prefix":"10.1038","volume":"11","author":[{"given":"Guillaume","family":"Chevereau","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tobias","family":"Bollenbach","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2015,4,29]]},"reference":[{"key":"BFMSB156098_CR1","doi-asserted-by":"crossref","first-page":"2006.0008","DOI":"10.1038\/msb4100050","volume":"2","author":"T Baba","year":"2006","unstructured":"Baba T, Ara T, Hasegawa M, Takai Y, Okumura Y, Baba M, Datsenko KA, Tomita M, Wanner BL, Mori H (2006) Construction of Escherichia coli K\u201012 in\u2010frame, single\u2010gene knockout mutants: the Keio collection. 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