Predictive modelling of a novel anti-adhesion therapy to combat bacterial colonisation of burn wounds.
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| Title: | Predictive modelling of a novel anti-adhesion therapy to combat bacterial colonisation of burn wounds. |
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| Authors: | Roberts PA; School of Mathematics, University of Birmingham, Edgbaston, Birmingham, United Kingdom.; Institute of Microbiology and Infection, School of Biosciences, University of Birmingham, Edgbaston, Birmingham, United Kingdom., Huebinger RM; Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America., Keen E; Institute of Microbiology and Infection, School of Biosciences, University of Birmingham, Edgbaston, Birmingham, United Kingdom., Krachler AM; Department of Microbiology and Molecular Genetics, University of Texas McGovern Medical School at Houston, Houston, Texas, United States of America., Jabbari S; School of Mathematics, University of Birmingham, Edgbaston, Birmingham, United Kingdom.; Institute of Microbiology and Infection, School of Biosciences, University of Birmingham, Edgbaston, Birmingham, United Kingdom. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2018 May 03; Vol. 14 (5), pp. e1006071. Date of Electronic Publication: 2018 May 03 (Print Publication: 2018). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1006071 |
