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用于药物设计的化学反应建模。

Modeling chemical reactions for drug design.

作者信息

Gasteiger Johann

机构信息

Computer-Chemie-Centrum, Universität Erlangen-Nürnberg, 91052 Erlangen, Germany.

出版信息

J Comput Aided Mol Des. 2007 Jan-Mar;21(1-3):33-52. doi: 10.1007/s10822-006-9097-4. Epub 2007 Jan 25.

Abstract

Chemical reactions are involved at many stages of the drug design process. This starts with the analysis of biochemical pathways that are controlled by enzymes that might be downregulated in certain diseases. In the lead discovery and lead optimization process compounds have to be synthesized in order to test them for their biological activity. And finally, the metabolism of a drug has to be established. A better understanding of chemical reactions could strongly help in making the drug design process more efficient. We have developed methods for quantifying the concepts an organic chemist is using in rationalizing reaction mechanisms. These methods allow a comprehensive modeling of chemical reactivity and thus are applicable to a wide variety of chemical reactions, from gas phase reactions to biochemical pathways. They are empirical in nature and therefore allow the rapid processing of large sets of structures and reactions. We will show here how methods have been developed for the prediction of acidity values and of the regioselectivity in organic reactions, for designing the synthesis of organic molecules and of combinatorial libraries, and for furthering our understanding of enzyme-catalyzed reactions and of the metabolism of drugs.

摘要

化学反应涉及药物设计过程的许多阶段。这始于对生化途径的分析,这些生化途径由某些疾病中可能下调的酶控制。在先导化合物发现和先导化合物优化过程中,必须合成化合物以测试其生物活性。最后,必须确定药物的代谢情况。更好地理解化学反应能够极大地有助于提高药物设计过程的效率。我们已经开发出了量化有机化学家用于合理化反应机理的概念的方法。这些方法能够对化学反应活性进行全面建模,因此适用于从气相反应到生化途径的各种化学反应。它们本质上是经验性的,因此能够快速处理大量的结构和反应。我们将在此展示如何开发出用于预测有机反应中的酸度值和区域选择性、设计有机分子和组合文库的合成以及加深我们对酶催化反应和药物代谢理解的方法。

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