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. 2017 Jun 23;19(6):1382–1399. doi: 10.1093/bib/bbx065

Table 1.

Databases and Web servers for cancer drug resistance

Databases Data deposited Potential applications Year Web site Reference
CancerDR Pharmacological profiling information of 148 anticancer drugs across 952 cancer cell lines Identify genetic mutations in the drug targets and the associated residues responsible for drug resistance 2013 http://crdd.osdd.net/raghava/cancerdr/ [51]
HerceptinR 2500 Herceptin assays performed to test efficacy of Herceptin on various breast cell lines (∼30 unique cell lines) with and without supplementary drugs (∼100 unique drugs) Assist to design Hercepting biomarkers to test whether Herceptin will work for a specific patient and examine whether Herceptin with supplementary drug can be used to treat this patient 2014 http://crdd.osdd.net/raghava/herceptinr/ [52]
MACE Individual GI50 data of chemicals against NCI60 cell lines with DNA microarray data Analyze mutation- or lineage-specific chemical response and expression signatures 2015 http://mace.sookmyung.ac.kr/ [53]
mutLBSgeneDB Over 2300 genes with ∼12 000 somatic mutations at ∼10 000 ligand-binding sites across 16 cancer types; 744 drug-targetable genes Search gene summary, mutated information, protein structure-related information, differential gene expression and gene–gene network, phenotype information, pharmacological information and conservation information 2017 http://zhaobioinfo.org/mutLBSgeneDB [54]
GEAR 1781 associations between drugs and genomic elements (e.g. genes, miRNAs and SNPs) Predict genomic elements that are responsible for drug resistance 2017 http://gear.comp-sysbio.org/ [55]