|Drug target distribution in different pathway databases|
|Database||#drug target in database||#Non-drug target in database||% of proteins in database that are drug targets||% of all drug targets with pathway info||% of all non-drug targets with pathway info|
|UniProt (all prots)||1953||113741||1.69||83.97||8.33|
84% of all drug-targets under study have pathway information. KEGG includes the highest number of drug targets (72%), followed by Reactome (65%). The number of non-drug targets in each database is small compared to all non-drug targets in UniProt, suggesting that pathways might be enriched for drug targets. Only 1.69% of UniProt proteins are drug targets while they constitute 15.9%-23.8% of pathway databases. This observation is confirmed by comparing the percentages of drug targets and non-drug targets in UniProt to those per database: KEGG, for example, contains 72.4% of all drug targets but only 6.6% of all non-drug targets found in UniProt.
Mora and Donaldson
Mora and Donaldson BMC Bioinformatics 2012 13:294 doi:10.1186/1471-2105-13-294