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Nucleic Acids Research· 2014Q1

SwissTargetPrediction: a web server for target prediction of bioactive small molecules

David Gfeller, Aurélien Grosdidier, Matthias Wirth, Antoine Daina et al.

Short summary

SwissTargetPrediction is a new web server that accurately predicts the protein targets of bioactive small molecules using 2D and 3D similarity measures with known ligands.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Introduces SwissTargetPrediction, a web server for predicting bioactive small molecule targets.
  • Utilizes 2D and 3D similarity measures against known ligand-target interactions.
  • Supports target prediction in five different organisms.
  • Enables homology mapping for paralogs and orthologs within and between species.

AI-generated from the title and abstract; the full text is not read.

Abstract

Bioactive small molecules, such as drugs or metabolites, bind to proteins or other macro-molecular targets to modulate their activity, which in turn results in the observed phenotypic effects. For this reason, mapping the targets of bioactive small molecules is a key step toward unraveling the molecular mechanisms underlying their bioactivity and predicting potential side effects or cross-reactivity. Recently, large datasets of protein-small molecule interactions have become available, providing a unique source of information for the development of knowledge-based approaches to computationally identify new targets for uncharacterized molecules or secondary targets for known molecules. Here, we introduce SwissTargetPrediction, a web server to accurately predict the targets of bioactive molecules based on a combination of 2D and 3D similarity measures with known ligands. Predictions can be carried out in five different organisms, and mapping predictions by homology within and between different species is enabled for close paralogs and orthologs. SwissTargetPrediction is accessible free of charge and without login requirement at http://www.swisstargetprediction.ch.

The authors' abstract, as published at the source. Nucleic Acids Research, 2014 · DOI ↗

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Field: Computational Theory and Mathematics

Computational Theory and MathematicsComputer Science