首页> 外文学位 >Advances in computer-aided drug design with applications to glycopeptide antibiotics.
【24h】

Advances in computer-aided drug design with applications to glycopeptide antibiotics.

机译:计算机辅助药物设计的进展及其在糖肽抗生素中的应用。

获取原文
获取原文并翻译 | 示例

摘要

This dissertation delineates the advancement in computer-aided drug design with applications to glycopeptide antibiotics. The glycopeptides of interest, vancomycin and teicoplanin, are antibiotics of last resort for treatments against multi-drug resistant infections. As an effort to combat the uprising epidemic of vancomycin-resistant infections, computational design of second generation derivatives of these two antibiotics were undertaken.The mechanisms of action of vancomycin and teicoplanin involve interrupting the cell wall biosynthesis of gram-positive bacteria by binding to peptidoglycan cell wall precursors at their D-Ala-D-Ala dipeptide termini. Common vancomycin-resistant bacterial strains, VanA and VanB, impair the activities of vancomycin-type antibiotics up to 1000 fold by reprogramming the terminal dipeptide to the depsipeptide, D-Ala-D -Lac, through an inducible mechanism. The focus of this dissertation is to seek modifications that allow each antibiotic to bind efficiently to both D-Ala-D-Ala and D-Ala- D-Lac sequences. Binding affinities for tripeptide mimics containing these sequences were computed as relative binding free energies using Monte Carlo/free energy perturbation (MC/FEP) methodology.For the study of vancomycin, the accuracy of the MC/FEP approach was first confirmed by reproducing the experimental trend in binding affinities of vancomycin aglycon with different tripeptides. The study of potential backbone modification between residues 4 and 5 indicates that the original peptide and the previously prepared amine linkages are the most promising. The findings of the subsequent investigation into side-chain modifications suggest that binding affinities of both sequences may be enhanced by hydrophobic substitutions at residue 7 that improve contacts with the ligands' D-Ala methyl side chains. Applying both backbone and side-chain modifications is also predicted to be benign.For teicoplanin, its aglycon form is shown to have similar binding modes for the dipeptide sequences as vancomycin aglycon based on their comparable predicted binding affinities for the tripeptides. Electronegative substitutions at the phenyl ring of residue 1 are predicted to be favorable for both sequences by strengthening the anion-pi interactions with the ligands' C-termini. Hydrophobic substitutions at residues I and 7 that enhance contacts with the ligands' D-Ala residues and displace surrounding water molecules are predicted to be constructive as well.
机译:本文阐述了计算机辅助药物设计的进展及其在糖肽抗生素中的应用。感兴趣的糖肽万古霉素和替考拉宁是治疗多重耐药性感染的最后手段。为了对抗万古霉素耐药性感染的暴发性流行,对这两种抗生素的第二代衍生物进行了计算设计。万古霉素和替考拉宁的作用机制包括通过与肽聚糖结合来中断革兰氏阳性细菌的细胞壁生物合成。 D-Ala-D-Ala二肽末端的细胞壁前体。常见的耐万古霉素的细菌菌株VanA和VanB通过诱导机制将末端二肽重编程为二肽D-Ala-D-Lac,从而使万古霉素类抗生素的活性降低了1000倍。本文的重点是寻求允许每种抗生素有效结合至D-Ala-D-Ala和D-Ala-D-Lac序列的修饰。使用蒙特卡罗/自由能扰动(MC / FEP)方法将包含这些序列的三肽模拟物的结合亲和力计算为相对结合自由能。对于万古霉素的研究,首先通过重现实验确定MC / FEP方法的准确性万古霉素糖苷配基与不同三肽结合亲和力的趋势对残基4和5之间潜在的主链修饰的研究表明,原始肽和先前制备的胺键是最有前途的。随后对侧链修饰的研究结果表明,两个序列的结合亲和力可通过残基7上的疏水取代来增强,该取代可改善与配体D-Ala甲基侧链的接触。预测同时应用主链和侧链修饰都是良性的。对于替考拉宁,基于它们对三肽的可预测结合亲和力,其糖苷配基形式与万古霉素糖苷配基具有相似的二肽序列结合模式。通过增强与配体C-末端的阴离子-π相互作用,可预测残基1苯环的负电取代对两个序列均有利。残基I和7上的疏水取代作用可增强与配体D-Ala残基的接触并置换周围的水分子,据预测也是有益的。

著录项

  • 作者

    Leung, Siegfried Sik Fai.;

  • 作者单位

    Yale University.;

  • 授予单位 Yale University.;
  • 学科 Chemistry Pharmaceutical.Chemistry Physical.Biophysics General.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 134 p.
  • 总页数 134
  • 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