Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DK-2100, Denmark.
Bioinformatics. 2019 Sep 1;35(17):3174-3175. doi: 10.1093/bioinformatics/btz037.
Cytochromes P450 are the most important class of drug metabolizing enzymes. Prediction of drug metabolism is important in development of new drugs, to understand and reduce adverse drug reactions and to reduce animal testing.
SMARTCyp 3.0 is an updated version of our previous web server for prediction of site-of-metabolism for Cytochrome P450-mediated metabolism, now in Python 3 with increased structural coverage and new features. The SMARTCyp program is a first principle-based method using density functional theory determined activation energies for more than 250 molecules to identify the most likely site-of-metabolism. New features include a similarity measure between the query molecule and the model fragment, a new graphical interface and additional parameters expanding the structural coverage of the SMARTCyp program.
The SMARTCyp server is freely available for use on the web at smartcyp.sund.ku.dk.
Supplementary data are available at Bioinformatics online.
细胞色素 P450 是最重要的药物代谢酶类。药物代谢预测在新药开发、理解和减少药物不良反应以及减少动物试验中非常重要。
SMARTCyp 3.0 是我们之前用于预测细胞色素 P450 介导的代谢中代谢部位的网络服务器的更新版本,现在使用 Python 3 进行了更新,具有更高的结构覆盖率和新功能。SMARTCyp 程序是一种基于第一性原理的方法,使用密度泛函理论确定了 250 多个分子的激活能,以确定最可能的代谢部位。新功能包括查询分子和模型片段之间的相似性度量、新的图形界面以及扩展 SMARTCyp 程序结构覆盖范围的附加参数。
SMARTCyp 服务器可在 smartcyp.sund.ku.dk 上免费在线使用。
补充数据可在 Bioinformatics 在线获得。