• Drug-target binding quantitatively predicts optimal antibiotic dose levels in quinolones 

      Clarelli, Fabrizio; Palmer, Adam; Singh, Bhupender; Storflor, Merete; Lauksund, Silje; Cohen, Ted; Abel, Sören; Abel zur Wiesch, Pia (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-14)
      Antibiotic resistance is rising and we urgently need to gain a better quantitative understanding of how antibiotics act, which in turn would also speed up the development of new antibiotics. Here, we describe a computational model (COMBAT-COmputational Model of Bacterial Antibiotic Target-binding) that can quantitatively predict antibiotic dose-response relationships. Our goal is dual: We address a ...