首页> 美国卫生研究院文献>BMC Bioinformatics >MUCHA: multiple chemical alignment algorithm to identify building block substructures of orphan secondary metabolites
【2h】

MUCHA: multiple chemical alignment algorithm to identify building block substructures of orphan secondary metabolites

机译:MUCHA:多种化学比对算法用于识别孤儿次生代谢物的结构单元亚结构

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

BackgroundIn contrast to the increasing number of the successful genome projects, there still remain many orphan metabolites for which their synthesis processes are unknown. Metabolites, including these orphan metabolites, can be classified into groups that share the same core substructures, originated from the same biosynthetic pathways. It is known that many metabolites are synthesized by adding up building blocks to existing metabolites. Therefore, it is proposed that, for any given group of metabolites, finding the core substructure and the branched substructures can help predict their biosynthetic pathway. There already have been many reports on the multiple graph alignment techniques to find the conserved chemical substructures in relatively small molecules. However, they are optimized for ligand binding and are not suitable for metabolomic studies.
机译:背景与成功的基因组计划数目不断增加相反,仍然有许多孤儿代谢产物的合成过程尚不清楚。代谢物,包括这些孤儿代谢物,可以分为源自相同生物合成途径的具有相同核心亚结构的组。已知许多代谢物是通过将结构单元加到现有代谢物上来合成的。因此,建议对于任何给定的代谢物组,找到核心亚结构和分支亚结构都可以帮助预测它们的生物合成途径。关于多重图对齐技术的报道已经很多,以发现相对较小分子中的保守化学亚结构。但是,它们针对配体结合进行了优化,不适用于代谢组学研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号