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Biofilm-Based Nosocomial Infections

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ISBN: 9783038421351 9783038421368 Year: Pages: 238 DOI: 10.3390/books978-3-03842-136-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Added to DOAB on : 2016-05-12 12:14:31
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Microbial biofilms have been implicated in a large number of acute and chronic infections, as well as in the failure of antibiotic treatment, particularly in hospitalized patients. In fact, the well-known persistence in the nosocomial environment of multidrug resistant microorganisms is believed to be highly promoted by the ability of the great majority of the involved bacterial and fungal species to adhere on living or abiotic surfaces, and to grow in sessile mode, to form single- or multi-species biofilms. In these communities, microbes grow encased in a hydrated matrix of extracellular polymeric substances produced by themselves and are well protected from the host immune response and the attack of antimicrobial molecules. Thus, the establishment of microbial biofilm communities on the mucosal and soft tissues of hospitalized patients, as well as on the surfaces of indwelling devices and medical instruments, is expected to have a great influence on the success of the antibiotic therapies against most of the bugs involved in nosocomial infections, being biofilm-growing bacteria and fungi much less susceptible to antibiotics.

Methods in Computational Biology

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ISBN: 9783039211630 / 9783039211647 Year: Pages: 214 DOI: 10.3390/books978-3-03921-164-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-08-28 11:21:27
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Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections:•Reviews of Computational Methods•Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels•The Interface of Biotic and Abiotic Processes•Processing of Large Data Sets for Enhanced Analysis•Parameter Optimization and Measurement

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