Name
Abstract | ||
|---|---|---|
Drug repurposing (a.k.a. drug repositioning) is the search for new indications or molecular targets distinct from a drug's putative activity, pharmacological effect or binding specificities. With the ever-increasing rates of termination of drugs in clinical trials, drug repositioning has risen as one of the effective solutions against the risk of drug failures. Repositioning finds a way to reverse the grim but real trend that Eroom's law portends for the pharmaceutical and biotech industry, and drug discovery in general. Further, the advent of high-throughput technologies to explore biological systems has enabled the generation of zeta bytes of data and a massive collection of databases that store them. Computational analytics and mining are frequently used as effective tools to explore this byzantine series of biological and biomedical data. However, advanced computational tools are often difficult to understand or use, thereby limiting their accessibility to scientists without a strong computational background. Hence it is of great importance to build user-friendly interfaces to extend the user-base beyond computational scientists, to include life scientists who may have deeper chemical and biological insights. This survey is focused on systematically presenting the available Web-based tools that aid in repositioning drugs. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1093/bib/bbx125 | BRIEFINGS IN BIOINFORMATICS |
Keywords | Field | DocType |
drug repurposing,drug repositioning,target prediction,approved drugs,drug indications,off-target predictions | Data mining,World Wide Web,Drug repositioning,Biology,Web application | Journal |
Volume | Issue | ISSN |
20 | 1 | 1467-5463 |
Citations | PageRank | References |
1 | 0.35 | 105 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elizabeth Sam | 1 | 1 | 0.35 |
| Prashanth Athri | 2 | 18 | 1.41 |