Apr 292015
 

CSNAP 1.0

:: DESCRIPTION

CSNAP is a computational approach for compound target identification based on network similarity graphs. Query and reference compounds are populated on the network connectivity map and a graph-based neighbor counting method is applied to rank the consensus targets among the neighborhood of each query ligand. The CSNAP approach can facilitate high-throughput target discovery and off-target prediction for any compound set identified from phenotype-based or cell-based chemical screens.

::DEVELOPER

the Torres lab at the UCLA Department of Chemistry and Biochemistry in association with the UCLA-DOE Institute for Genomics and Proteomics and UCLA Molecular Biology Institute .

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Large-scale chemical similarity networks for target profiling of compounds identified in cell-based chemical screens.
Lo YC, Senese S, Li CM, Hu Q, Huang Y, Damoiseaux R, Torres JZ.
PLoS Comput Biol. 2015 Mar 31;11(3):e1004153. doi: 10.1371/journal.pcbi.1004153.

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