de Albuquerque Ana Carolina Ferreira, Ribeiro Daniel Joras, de Amorim Mauro Barbosa
Instituto de Pesquisas de Produtos Naturais, Universidade Federal do Rio de Janeiro, 21941-902, Rio de Janeiro, RJ, Brazil.
J Mol Model. 2016 Aug;22(8):183. doi: 10.1007/s00894-016-3045-6. Epub 2016 Jul 16.
Nuclear magnetic resonance (NMR) spectroscopy is one of the most important tools for determining the structures of organic molecules. Despite the advances made in this technique, revisions of erroneously established structures for natural products are still commonly published in the literature. In this context, the prediction of chemical shifts through ab initio and density functional theory (DFT) calculations has become a very powerful tool for assisting with the structural determination of complex organic molecules. In this work, we present the development of a protocol for (13)C chemical shift calculations of terpenes, a class of natural products that are widely distributed among plant species and are very important due to their biological and pharmacological activities. This protocol consists of GIAO-DFT calculations of chemical shifts and the application of a parameterized scaling factor in order to ensure accurate structural determination of this class of natural products. The application of this protocol to a set of five terpenes yielded accurate calculated chemical shifts, showing that this is a very attractive tool for the calculation of complex organic structures such as terpenes.
核磁共振(NMR)光谱法是确定有机分子结构的最重要工具之一。尽管该技术取得了进展,但天然产物错误确定结构的修正仍经常在文献中发表。在此背景下,通过从头算和密度泛函理论(DFT)计算预测化学位移已成为辅助复杂有机分子结构确定的非常强大的工具。在这项工作中,我们展示了一种用于萜类化合物(一类在植物物种中广泛分布且因其生物和药理活性而非常重要的天然产物)的(13)C化学位移计算方案的开发。该方案包括化学位移的GIAO-DFT计算以及应用参数化比例因子,以确保准确确定这类天然产物的结构。将该方案应用于一组五种萜类化合物,得到了准确的计算化学位移,表明这是计算萜类等复杂有机结构的非常有吸引力的工具。