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中文摘要
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项目摘要 这项研究计划开发并应用最先进的计算方法来 了解酶催化剂对具有高合成价值的反应的立体选择性。 立体选择性的控制是有效合成的一个基本特征,而这 程序提供了对这些选择性的起源的解释,并以此为基础 预测立体选择性反应的新型酶催化剂。合作者测试这些 预测。这些都是合成有效药物的关键要素。 探员们。
英文摘要
Project Abstract This research program develops and applies state-of-the-art computational methods to understand stereoselectivities of enzyme catalysts for reactions of high synthetic value. The control of stereoselectivity is an essential feature of efficient synthesis, and this program provides explanations of the origins of these selectivities and builds on these to predict new enzyme catalysts for stereoselective reactions. Collaborators test these predictions. These are critical elements in the synthesis of effective pharmaceutical agents.
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Bioorthogonal Cycloadditions
Bioorthogonal Cycloadditions
Mapping the Evolution of a Novel Enzyme by Experiment and Computation
Mapping the Evolution of a Novel Enzyme by Experiment and Computation
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