UCLA Department of Chemistry & Biochemistry



Open access research resources created by the Torres lab with generous funding
from the National Science Foundation, NSF MCB1243645.

CSNAP web server: CSNAP

CSNAP (Chemical Similarity Network Analysis Pull-down) is a computational approach
for compound target identification based on network chemical 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.

Published Artticle:
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]

Generation of Inducible LAP-tagged stable cell lines and LAP biochemical purifications video:


Video describe a method for generating localization and affinity purification (LAP)-tagged inducible stable cell lines for investigating protein function, spatiotemporal subcellular localization and protein-protein interaction networks.

Published article:
Bradley M., Ramirez I., Cheung K., Gholkar A.A., and Torres J.Z. “Inducible LAP-tagged Stable Cell Lines for Investigating Protein Function, Spatiotemporal Localization and Protein Interaction Networks”, Journal of Visualized Experiments 2016 Dec. 24, (118):1-9, e54870, doi:10.3791/54870. PMID:28060263


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