CSNAP (Chemical Similarity Network Analysis Pull-down) 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.
CSNAP web server (version 1.0): start here The server is freely accessible without any log-in requirement. The website has been tested and optimized for Firefox, Opera, Chrome and Safari. Please see Q&A page for additional details.
Lo, Y.C., Senese, S., Li, C.M., Hu, Q., Huang, Y., Damoiseaux, R., Torres, J.Z. "Large-scale Chemical Similarity Networks for Drug Target Profiling of Compounds Identified in Cell-based Chemical Screens." PLoS Comput Biol. 11(3) (2015) [PMID:25826798]
This material is based upon work supported by the National Science Foundation under Grant Number MCB1243645.