Literature DB >> 27481142

Visual Analysis of Biological Activity Data with Scaffold Hunter.

Karsten Klein1, Oliver Koch2, Nils Kriege3, Petra Mutzel4, Till Schäfer4.   

Abstract

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.
Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Chemogenomic data; Interactive exploration; Scaffold tree; Visual analytics

Year:  2013        PMID: 27481142     DOI: 10.1002/minf.201300087

Source DB:  PubMed          Journal:  Mol Inform        ISSN: 1868-1743            Impact factor:   3.353


  3 in total

1.  The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching.

Authors:  Egon L Willighagen; John W Mayfield; Jonathan Alvarsson; Arvid Berg; Lars Carlsson; Nina Jeliazkova; Stefan Kuhn; Tomáš Pluskal; Miquel Rojas-Chertó; Ola Spjuth; Gilleain Torrance; Chris T Evelo; Rajarshi Guha; Christoph Steinbeck
Journal:  J Cheminform       Date:  2017-06-06       Impact factor: 5.514

2.  Scaffold Hunter: a comprehensive visual analytics framework for drug discovery.

Authors:  Till Schäfer; Nils Kriege; Lina Humbeck; Karsten Klein; Oliver Koch; Petra Mutzel
Journal:  J Cheminform       Date:  2017-05-11       Impact factor: 5.514

Review 3.  Natural product drug discovery in the artificial intelligence era.

Authors:  F I Saldívar-González; V D Aldas-Bulos; J L Medina-Franco; F Plisson
Journal:  Chem Sci       Date:  2021-12-13       Impact factor: 9.825

  3 in total

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