Titre
SwissTargetPrediction: a web server for target prediction of bioactive small molecules.
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Gfeller, D.
Auteure/Auteur
Grosdidier, A.
Auteure/Auteur
Wirth, M.
Auteure/Auteur
Daina, A.
Auteure/Auteur
Michielin, O.
Auteure/Auteur
Zoete, V.
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
ISSN
1362-4962
Statut éditorial
Publié
Date de publication
2014
Volume
42
Numéro
W1
Première page
W32
Dernière page/numéro d’article
W38
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't Publication Status: ppublish
Résumé
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.
PID Serval
serval:BIB_4D2B5BC774F4
PMID
Open Access
Oui
Date de création
2014-09-10T07:39:46.142Z
Date de création dans IRIS
2025-05-20T16:32:22Z
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Nom
24792161_BIB_4D2B5BC774F4.pdf
Version du manuscrit
published
Taille
1014.81 KB
Format
Adobe PDF
PID Serval
serval:BIB_4D2B5BC774F4.P001
URN
urn:nbn:ch:serval-BIB_4D2B5BC774F48
Somme de contrôle
(MD5):979490a4e017bcd2b076b808c92e418b