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Computer modeling of molecular recognition: From host-guest chemistry to catalytic antibodies.

机译:分子识别的计算机模型:从宿主-客体化学到催化抗体。

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摘要

Molecular recognition is essential to life. At the basis of most biological processes lies the ability of molecules to recognize each other and to form well-defined complexes. Molecular recognition involves noncovalent associations. It can be very selective and involve strong binding of a guest to a given host. Well-known examples are catalysis of chemical reaction by enzymes, recognition of antigens by the immune system, and the actions of many drugs.;Fundamental to understanding molecular recognition is the ability to compute receptor-ligand binding affinities. In this thesis, I will describe a semi-empirical approach to the "binding" problem. I will report the studies of guest selectivities in self assembled molecular capsule. I will also present the results of detailed structure-based simulations of catalytic antibodies in order to gain insight into the molecular mechanisms of biological catalysis and of the immune response itself.
机译:分子识别对于生命至关重要。大多数生物过程的基础在于分子相互识别并形成定义明确的复合物的能力。分子识别涉及非共价缔合。它可能具有很高的选择性,并涉及到来宾与给定主机的强大绑定。众所周知的例子是酶的化学反应催化,免疫系统对抗原的识别以及许多药物的作用。了解分子识别的基础是计算受体-配体结合亲和力的能力。在本文中,我将描述“约束”问题的半经验方法。我将报告自组装分子胶囊中客体选择性的研究。我还将介绍催化抗体基于结构的详细模拟结果,以便深入了解生物催化的分子机制和免疫应答本身。

著录项

  • 作者

    Chen, Jiangang.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Physical chemistry.;Biochemistry.;Organic chemistry.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 104 p.
  • 总页数 104
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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