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These results show that the challenge to predict de novo evolutionary dynamics of antibiotic resistance lies in the need for accurate prediction of the effects of mutations on the molecular properties of target enzymes.\n          <\/jats:p>","DOI":"10.1073\/pnas.1601441113","type":"journal-article","created":{"date-parts":[[2016,3,1]],"date-time":"2016-03-01T04:14:31Z","timestamp":1456805671000},"update-policy":"https:\/\/doi.org\/10.1073\/pnas.cm10313","source":"Crossref","is-referenced-by-count":162,"title":["Biophysical principles predict fitness landscapes of drug resistance"],"prefix":"10.1073","volume":"113","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5605-656X","authenticated-orcid":false,"given":"Jo\u00e3o V.","family":"Rodrigues","sequence":"first","affiliation":[{"name":"Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138;"}]},{"given":"Shimon","family":"Bershtein","sequence":"additional","affiliation":[{"name":"Department of Life 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