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Genius:一种用于从碳-13核磁共振光谱自动解析结构的遗传算法。

Genius: a genetic algorithm for automated structure elucidation from 13C NMR spectra.

作者信息

Meiler Jens, Will Martin

机构信息

University of Washington, Box 357350, Seattle, Washington 98195-7350, USA.

出版信息

J Am Chem Soc. 2002 Mar 6;124(9):1868-70. doi: 10.1021/ja0109388.

Abstract

The automated structure elucidation of organic molecules from experimentally obtained properties is extended by an entirely new approach. A genetic algorithm is implemented that uses molecular constitution structures as individuals. With this approach, the structure of organic molecules can be optimized to meet experimental criteria, if in addition a fast and accurate method for the prediction of the used physical or chemical features is available. This is demonstrated using 13C NMR spectrum as readily obtainable information. By means of artificial neural networks a fast and accurate method for calculating the 13C NMR spectrum of the generated structures exists. The method is implemented and tested successfully for organic molecules with up to 18 non-hydrogen atoms.

摘要

一种全新的方法扩展了从实验获得的性质对有机分子进行自动结构解析的能力。实现了一种遗传算法,该算法将分子组成结构用作个体。通过这种方法,如果有快速且准确的预测所使用的物理或化学特征的方法,有机分子的结构就可以被优化以符合实验标准。利用¹³C NMR光谱作为易于获取的信息对此进行了证明。借助人工神经网络,存在一种用于计算所生成结构的¹³C NMR光谱的快速且准确的方法。该方法已针对多达18个非氢原子的有机分子成功实现并进行了测试。

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