Name
Title | ||
|---|---|---|
IDAAPM: integrated database of ADMET and adverse effects of predictive modeling based on FDA approved drug data. |
Abstract | ||
|---|---|---|
IDAAPM is a unique resource that, in a single relational database, provides detailed information on FDA approved drugs including their ADMET properties and adverse effects, the corresponding targets with bioactivity data, coupled with a data analytics platform. It can be used to perform basic to complex drug-target ADMET or adverse effects analysis and predictive modeling. IDAAPM is freely accessible at http://idaapm.helsinki.fi and can be exploited through a KNIME workflow connected to the database.Graphical abstractFDA approved drug data integration for predictive modeling. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s13321-016-0141-7 | J. Cheminformatics |
Keywords | Field | DocType |
ADMET,Adverse effects,Data analysis,Database,Drug-target database,FDA approved drugs,Predictive modeling,Targets | Approved drug,Pharmaceutical sciences,Drug discovery,Computer science,Adverse effect,Drug,Database | Journal |
Volume | Issue | ISSN |
8 | 1 | 1758-2946 |
Citations | PageRank | References |
1 | 0.38 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ashenafi Legehar | 1 | 1 | 0.38 |
| Henri Xhaard | 2 | 15 | 2.88 |
| Leo Ghemtio | 3 | 4 | 2.19 |