Swiss Target Prediction: updated data and new features for efficient prediction of protein targets of small molecules

被引:2979
作者
Daina, Antoine [1 ]
Michielin, Olivier [1 ,2 ]
Zoete, Vincent [1 ,3 ]
机构
[1] Univ Lausanne, Quartier UNIL Sorge, SIB Swiss Inst Bioinformat, Mol Modeling Grp, Batiment Amphipole, CH-1015 Lausanne, Switzerland
[2] Univ Lausanne Hosp, Ludwig Canc Res Lausanne Branch, Dept Oncol, CH-1011 Lausanne, Switzerland
[3] Univ Lausanne, Ludwig Canc Res Lausanne Branch, Dept Fundamental Oncol, Route Corniche 9A, CH-1066 Epalinges, Switzerland
关键词
POLYPHARMACOLOGY; ELECTROSHAPE; TOOL;
D O I
10.1093/nar/gkz382
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Swiss Target Prediction is a web tool, on-line since 2014, that aims to predict the most probable protein targets of small molecules. Predictions are based on the similarity principle, through reverse screening. Here, we describe the 2019 version, which represents a major update in terms of underlying data, back-end and web interface. The bioactivity data were updated, the model retrained and similarity thresholds redefined. In the new version, the predictions are performed by searching for similar molecules, in 2D and 3D, within a larger collection of 376 342 compounds known to be experimentally active on an extended set of 3068 macromolecular targets. An efficient back-end implementation allows to speed up the process that returns results for a druglike molecule on human proteins in 15-20 s. The refreshed web interface enhances user experience with new features for easy input and improved analysis. Interoperability capacity enables straightforward submission of any input or output molecule to other on-line computer-aided drug design tools, developed by the SIB Swiss Institute of Bioinformatics. High levels of predictive performance were maintained despite more extended biological and chemical spaces to be explored, e.g. achieving at least one correct human target in the top 15 predictions for >70% of external compounds. The new Swiss Target Prediction is available free of charge (www.swisstargetprediction.ch).
引用
收藏
页码:W357 / W364
页数:8
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