DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment 论文
2012Bioinformatics引用 586顶会
Computational Drug Discovery MethodsProtein Structure and DynamicsMachine Learning in Bioinformatics
详细信息
- 发表期刊/会议
- Bioinformatics
- 发表日期
- 2012-05-23
- 发表年份
- 2012
关键词
Computational Drug Discovery MethodsProtein Structure and DynamicsMachine Learning in Bioinformatics
摘要
MOTIVATION: Many drug discovery projects fail because the underlying target is finally found to be undruggable. Progress in structure elucidation of proteins now opens up a route to automatic structure-based target assessment. DoGSiteScorer is a newly developed automatic tool combining pocket prediction, characterization and druggability estimation and is now available through a web server. AVAILABILITY: The DoGSiteScorer web server is freely available for academic use at http://dogsite.zbh.uni-hamburg.de CONTACT: rarey@zbh.uni-hamburg.de.