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By Peter Sass (eds.)

This quantity offers state of the art and novel tools on antibiotic isolation and purification, id of antimicrobial killing mechanisms, and techniques for the research and detection of microbial variation thoughts. Antibiotics: equipment and Protocols courses readers via chapters on construction and layout, mode of motion, and reaction and susceptibility. Written within the hugely profitable Methods in Molecular Biology series structure, chapters comprise introductions to their respective themes, lists of the mandatory fabrics and reagents, step by step, simply reproducible laboratory protocols, and tips about troubleshooting and heading off recognized pitfalls.

Authoritative and state-of-the-art, Antibiotics: equipment and Protocols goals to motivate medical paintings within the intriguing box of antibiotic research.

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NaPDoS is a web-based bioinformatic tool that can be used to identify and extract KS- and C-domains according to a BLAST search against a database of different PKS, NRPS, and hybrid clusters [58]. Furthermore, with NaPDoS it is possible to construct a phylogenetic tree based on the pairwise sequence similarity of KS- or C-domains. 0 [59]. For the assignment of SMGCs according to their phylogeny, this means that KS- or C-domains belonging to the same cluster, but present on different contigs, are likely to fall in the same phylogenetic clade.

References 1. Pelaez F (2006) The historical delivery of antibiotics from microbial natural products—can history repeat? Biochem Pharmacol 71(7):981– 990. 010 2. Newman DJ, Cragg GM (2012) Natural products as sources of new drugs over the 30 years from 1981 to 2010. J Nat Prod 75(3):311– 335. 1021/np200906s 3. Spellberg B, Guidos R, Gilbert D, Bradley J, Boucher HW, Scheld WM, Bartlett JG, Edwards J Jr, Infectious Diseases Society of America (2008) The epidemic of antibioticresistant infections: a call to action for the medical community from the Infectious Diseases Society of America.

Mol Microbiol 101:194–209 Chapter 2 Mining Bacterial Genomes for Secondary Metabolite Gene Clusters Martina Adamek, Marius Spohn, Evi Stegmann, and Nadine Ziemert Abstract With the emergence of bacterial resistance against frequently used antibiotics, novel antibacterial compounds are urgently needed. Traditional bioactivity-guided drug discovery strategies involve laborious screening efforts and display high rediscovery rates. With the progress in next generation sequencing methods and the knowledge that the majority of antibiotics in clinical use are produced as secondary metabolites by bacteria, mining bacterial genomes for secondary metabolites with antimicrobial activity is a promising approach, which can guide a more time and cost-effective identification of novel compounds.

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