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Looming danger of returning to the pre-antibiotic era.
Antibiotics have been the mainstay of treatment for a variety of infectious diseases such as pneumonia. Due to the increasing incidence of antimicrobial resistance, we are at risk of returning to the pre-antibiotic era, and the need to develop new drugs rapidly is becoming more urgent. A new computational method could provide quantitative insights to the interaction between an antimicrobial agent and a pathogen, which would facilitate new agent development by rationally guiding selection of dosing regimens. (See Tam and Nikolau, doi:10.1371/journal.pcbi.1001043.)
Image Credit: Thomas Shea, University of Houston Cullen College of Engineering
Citation: (2011) PLoS Computational Biology Issue Image | Vol. 7(1) January 2011. PLoS Comput Biol 7(1): ev07.i01. https://doi.org/10.1371/image.pcbi.v07.i01
Published: January 27, 2011
Copyright: © 2011 University of Houston Cullen College of Engineering. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Antibiotics have been the mainstay of treatment for a variety of infectious diseases such as pneumonia. Due to the increasing incidence of antimicrobial resistance, we are at risk of returning to the pre-antibiotic era, and the need to develop new drugs rapidly is becoming more urgent. A new computational method could provide quantitative insights to the interaction between an antimicrobial agent and a pathogen, which would facilitate new agent development by rationally guiding selection of dosing regimens. (See Tam and Nikolau, doi:10.1371/journal.pcbi.1001043.)
Image Credit: Thomas Shea, University of Houston Cullen College of Engineering