首页> 外文学位 >Mass spectrometric and bioinformatics approaches to characterizing of cyclic non-ribosomal peptides and ribosomally encoded peptide antibiotic.
【24h】

Mass spectrometric and bioinformatics approaches to characterizing of cyclic non-ribosomal peptides and ribosomally encoded peptide antibiotic.

机译:质谱和生物信息学方法表征环状非核糖体肽和核糖体编码的肽抗生素。

获取原文
获取原文并翻译 | 示例

摘要

Natural products are a crucial component in drug discovery because of their considerable pharmaceutical properties. Cyclic non-ribosomally peptides are one category of natural products featured by containing non-standard amino acids and lactam or lactone structures, thus increasing the complexity of the resulting tandem mass spectrometry data. Cyclosporin, microcystins and nodularins all are well-known examples and have notable pharmacologically importance. In this current work, by collaborating with Dr. Pevzner bioinformatics group, a program was developed for the annotation and characterization of tandem mass spectra obtained from cyclic peptides. This program, MS-CPA is available as a web tool (http://lol.ucsd.edu/ms-cpa_v1/Input.py). The second half of this thesis will be focused on a ribosomally encoded peptide antibiotic trifolitoxin produced by a rhizobium strain. This peptide undergoes multiple unknown post-translational modifications results in a loss of 24 Da masses. Mass spectrometry based strategies as well as in vivo reconstitution experiments were used to partially characterize trifolitoxin structure.
机译:天然产物由于其相当大的药学特性而成为药物开发中的关键组成部分。环状非核糖体肽是一类天然产物,其特征在于含有非标准氨基酸和内酰胺或内酯结构,因此增加了所得串联质谱数据的复杂性。环孢菌素,微囊藻毒素和结节蛋白都是众所周知的例子,并且在药理上具有重要意义。在当前的工作中,通过与Pevzner博士生物信息学小组的合作,开发了一个程序,用于注释和表征从环状肽获得的串联质谱。该程序MS-CPA可作为Web工具(http://lol.ucsd.edu/ms-cpa_v1/Input.py)获得。本文的后半部分将重点介绍由根瘤菌菌株产生的核糖体编码的肽类抗生素三叶毒素。该肽经过多次未知的翻译后修饰,导致损失24 Da质量。基于质谱的策略以及体内重构实验用于部分表征三叶毒素的结构。

著录项

  • 作者

    Liu, Wei-Ting.;

  • 作者单位

    University of California, San Diego.;

  • 授予单位 University of California, San Diego.;
  • 学科 Chemistry Biochemistry.;Biology Bioinformatics.
  • 学位 M.S.
  • 年度 2009
  • 页码 98 p.
  • 总页数 98
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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