By Peter Sass (eds.)
This quantity offers state of the art and novel equipment on antibiotic isolation and purification, identity of antimicrobial killing mechanisms, and techniques for the research and detection of microbial model techniques. Antibiotics: tools and Protocols publications readers via chapters on construction and layout, mode of motion, and reaction and susceptibility. Written within the hugely profitable Methods in Molecular Biology series layout, chapters contain introductions to their respective issues, lists of the required fabrics and reagents, step by step, with no trouble reproducible laboratory protocols, and tips about troubleshooting and keeping off recognized pitfalls.
Authoritative and state-of-the-art, Antibiotics: tools and Protocols goals to encourage medical paintings within the interesting box of antibiotic research.
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Extra info for Antibiotics: Methods and Protocols
A comparison of A. orientalis HCCB10007 cluster 3 with the respective MIBiG entry for vancomycin reveals high similarity in the modular structure as well as high similarity in the set of flanking genes and therefore allows estimating the gene cluster boundaries by simple comparison. Although antiSMASH usually overestimates the gene cluster size, sometimes the known cluster is even bigger than the cluster determined by antiSMASH. In this case, the raw sequence should be carefully inspected. Most of the SMGCs predicted by antiSMASH will not have a high similarity with clusters from the MIBiG database.
85. 86. 87. 88. 89. 90. 91. Bandow JE, Sahl HG, Labischinski H (2005) Dysregulation of bacterial proteolytic machinery by a new class of antibiotics. Nat Med 11(10):1082–1087 Michel KH, Kastner RE (1985) A54556 antibiotics and process for production thereof. US Patent 4,492,650 Kirstein J, Hoffmann A, Lilie H, Schmidt R, Rübsamen-Waigmann H, Brötz-Oesterhelt H, Mogk A, Turgay K (2009) The antibiotic ADEP reprogrammes ClpP, switching it from a regulated to an uncontrolled protease. EMBO Mol Med 1(1):37–49 Lee BG, Park EY, Jeon H, Sung KH, Paulsen H, Rübsamen-Schaeff H, Brötz-Oesterhelt H, Song HK (2010) Structures of ClpP in complex with a novel class of antibiotics reveal its activation mechanism.
Traditional bioactivity guided screening methods tend to rediscover already known molecules. The increasing availability of bacterial genome sequences and the continuously improving algorithms for the computational prediction of bacterial secondary metabolites prepare the ground for the so-called genome mining , which aims at the identification of Secondary Metabolite Gene Clusters (SMGC) within genomic data. Understanding the composition and regulation of SMGCs can guide experiments for a more targeted isolation of molecules, to reduce time and cost for the discovery of new compounds.
Antibiotics: Methods and Protocols by Peter Sass (eds.)