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Examination of molecular recognition in protein-ligand interactions: Prospective study and methods development.

机译:蛋白质-配体相互作用中的分子识别研究:前瞻性研究和方法开发。

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摘要

This dissertation is a compilation of two main projects that were investigated during my thesis research. The first project was a prospective study which identified and characterized drug-like inhibitors of a prototype of bacterial two-component signal transduction response regulator using computational and experimental methods. The second project was the development and validation of a scoring function, PHOENIX, derived using high-resolution structures and calorimetry measurements to predict binding affinities of protein-ligand interactions.;Collectively, my thesis research aimed to better understand the underlying driving forces and principles which govern molecular recognition and molecular design. A prospective study coupled computational predictions with experimental validation resulted in the discovery of first-in-class inhibitors targeting a signal transduction module important for bacterial virulence. Development and validation of the PHOENIX scoring function for binding affinity prediction derived using high-resolution structures and calorimetry measurements should guide future molecular recognition studies and endeavors in computer-aided molecular design.;To request for an electronic copy of this dissertation, please email the author (yattang at gmail dot com).
机译:本文是对我的论文研究期间研究的两个主要项目的汇编。第一个项目是一项前瞻性研究,该研究使用计算和实验方法鉴定并表征了细菌双组分信号转导应答调节剂原型的药物样抑制剂。第二个项目是开发和验证评分功能PHOENIX,该功能使用高分辨率结构和量热法测量来预测蛋白质-配体相互作用的结合亲和力。总体而言,我的论文研究旨在更好地理解潜在的驱动力和原理它负责分子识别和分子设计。一项前瞻性研究将计算预测与实验验证相结合,从而发现了针对细菌毒力重要信号转导模块的一流抑制剂。用于高分辨率结构和量热法测量的结合亲和力预测的PHOENIX评分功能的开发和验证应指导未来的分子识别研究和计算机辅助分子设计的工作。若要获得本论文的电子版本,请通过电子邮件发送作者(gmail.com上的yattang)。

著录项

  • 作者

    Tang, Yat T.;

  • 作者单位

    Washington University in St. Louis.;

  • 授予单位 Washington University in St. Louis.;
  • 学科 Biology Microbiology.;Biophysics General.;Chemistry Biochemistry.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 139 p.
  • 总页数 139
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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