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首页> 外文期刊>BMC Microbiology >New Knowledge from Old: In silico discovery of novel protein domains in Streptomyces coelicolor
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New Knowledge from Old: In silico discovery of novel protein domains in Streptomyces coelicolor

机译:来自旧的新知识:在计算机上发现天蓝色链霉菌中的新蛋白质结构域

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摘要

Streptomyces coelicolor has long been considered a remarkable bacterium with a complex life-cycle, ubiquitous environmental distribution, linear chromosomes and plasmids, and a huge range of pharmaceutically useful secondary metabolites. Completion of the genome sequence demonstrated that this diversity carried through to the genetic level, with over 7000 genes identified. We sought to expand our understanding of this organism at the molecular level through identification and annotation of novel protein domains. Protein domains are the evolutionary conserved units from which proteins are formed. Two automated methods were employed to rapidly generate an optimised set of targets, which were subsequently analysed manually. A final set of 37 domains or structural repeats, represented 204 times in the genome, was developed. Using these families enabled us to correlate items of information from many different resources. Several immediately enhance our understanding both of S. coelicolor and also general bacterial molecular mechanisms, including cell wall biosynthesis regulation and streptomycete telomere maintenance. Delineation of protein domain families enables detailed analysis of protein function, as well as identification of likely regions or residues of particular interest. Hence this kind of prior approach can increase the rate of discovery in the laboratory. Furthermore we demonstrate that using this type of in silico method it is possible to fairly rapidly generate new biological information from previously uncorrelated data.
机译:长久以来,天蓝色链霉菌一直被认为是一种杰出的细菌,具有复杂的生命周期,无处不在的环境分布,线性染色体和质粒以及广泛的药学上有用的次级代谢产物。基因组序列的完成表明,这种多样性一直延续到遗传水平,已鉴定出7000多个基因。我们试图通过鉴定和注释新的蛋白质结构域在分子水平上扩展对这种生物的理解。蛋白质结构域是形成蛋白质的进化保守单位。采用两种自动化方法快速生成优化的目标集,随后对其进行手动分析。开发了最终的37个结构域或结构重复序列,代表了基因组中的204次。使用这些族使我们能够关联来自许多不同资源的信息项。几个立即增强了我们对天蓝色链霉菌以及一般细菌分子机制的理解,包括细胞壁生物合成调节和链霉菌端粒的维持。蛋白质结构域家族的描述使得能够对蛋白质功能进行详细分析,并鉴定可能的区域或特别感兴趣的残基。因此,这种先前的方法可以提高实验室的发现率。此外,我们证明了使用这种类型的计算机方法,可以从以前不相关的数据中相当快地生成新的生物学信息。

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