Name
Title | ||
|---|---|---|
Drug target prediction using adverse event report systems: a pharmacogenomic approach. |
Abstract | ||
|---|---|---|
Motivation: Unexpected drug activities derived from off-targets are usually undesired and harmful; however, they can occasionally be beneficial for different therapeutic indications. There are many uncharacterized drugs whose target proteins (including the primary target and off-targets) remain unknown. The identification of all potential drug targets has become an important issue in drug repositioning to reuse known drugs for new therapeutic indications. Results: We defined pharmacological similarity for all possible drugs using the US Food and Drug Administration's (FDA's) adverse event reporting system (AERS) and developed a new method to predict unknown drug-target interactions on a large scale from the integration of pharmacological similarity of drugs and genomic sequence similarity of target proteins in the framework of a pharmacogenomic approach. The proposed method was applicable to a large number of drugs and it was useful especially for predicting unknown drug-target interactions that could not be expected from drug chemical structures. We made a comprehensive prediction for potential off-targets of 1874 drugs with known targets and potential target profiles of 2519 drugs without known targets, which suggests many potential drug-target interactions that were not predicted by previous chemogenomic or pharmacogenomic approaches. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1093/bioinformatics/bts413 | BIOINFORMATICS |
Keywords | Field | DocType |
pharmacogenetics,proteins,genomics | Pharmacogenetics,Adverse Event Reporting System,Drug repositioning,Computer science,Adverse effect,Drug target,Bioinformatics,Drug,Pharmacogenomics,Drug administration | Journal |
Volume | Issue | ISSN |
28 | 18 | 1367-4803 |
Citations | PageRank | References |
19 | 0.82 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masataka Takarabe | 1 | 37 | 5.97 |
| Masaaki Kotera | 2 | 285 | 23.48 |
| Yosuke Nishimura | 3 | 29 | 1.77 |
| Susumu Goto | 4 | 3213 | 541.48 |
| Yoshihiro Yamanishi | 5 | 1268 | 83.44 |