4.4 Article

Visual Analysis of Biological Activity Data with Scaffold Hunter

期刊

MOLECULAR INFORMATICS
卷 32, 期 11-12, 页码 964-975

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/minf.201300087

关键词

Scaffold tree; Visual analytics; Interactive exploration; Chemogenomic data

资金

  1. ARC [H2814 A4421]
  2. Tom Sawyer Software
  3. NewtonGreen Technologies
  4. German Research Foundation (DFG) [SPP 1307]
  5. German Federal Ministry for Education and Research (Medizinische Chemie in Dortmund) [BMBF 1316053]

向作者/读者索取更多资源

The growing interest in chemogenomics approaches over the last years has led to an increasing amount of data regarding chemical and the corresponding biological activity space. The resulting data, collected in either in-house or public databases, need to be analyzed efficiently to speed-up the increasingly difficult task of drug discovery. Unfortunately, the discovery of new chemical entities or new targets for known drugs (drug repurposing') is not suitable to a fully automated analysis or a simple drill down process. Visual interactive interfaces that allow to explore chemical space in a systematic manner and facilitate analytical reasoning can help to overcome these problems. Scaffold Hunter is a tool for the visual analysis of chemical compound databases that provides integrated visualization and analysis of biological activity data and fosters the interactive exploration of data imported from a variety of sources. We describe the features and illustrate the use by means of an exemplary analysis workflow.

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