Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse

被引:59
作者
Carlsson, Lars [1 ]
Spjuth, Ola [2 ]
Adams, Samuel [3 ]
Glen, Robert C. [3 ]
Boyer, Scott [1 ]
机构
[1] AstraZeneca Res & Dev, Safety Assessment, S-43183 Molndal, Sweden
[2] Uppsala Univ, Dept Pharmaceut Biosci, S-75124 Uppsala, Sweden
[3] Unilever Ctr Mol Sci Informat, Univ Chem Lab, Cambridge CB2 1EW, England
关键词
Drug Discovery Process; Atom Environment; Open Source License; Chemical Markup Language; Query Molecule;
D O I
10.1186/1471-2105-11-362
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: Predicting metabolic sites is important in the drug discovery process to aid in rapid compound optimisation. No interactive tool exists and most of the useful tools are quite expensive. Results: Here a fast and reliable method to analyse ligands and visualise potential metabolic sites is presented which is based on annotated metabolic data, described by circular fingerprints. The method is available via the graphical workbench Bioclipse, which is equipped with advanced features in cheminformatics. Conclusions: Due to the speed of predictions (less than 50 ms per molecule), scientists can get real time decision support when editing chemical structures. Bioclipse is a rich client, which means that all calculations are performed on the local computer and do not require network connection. Bioclipse and MetaPrint2D are free for all users, released under open source licenses, and available from http://www.bioclipse.net.
引用
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页数:7
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