Name
Title | ||
|---|---|---|
Leveraging 3D chemical similarity, target and phenotypic data in the identification of drug-protein and drug-adverse effect associations. |
Abstract | ||
|---|---|---|
The modeling described in the current study is simple and efficient and has applications at large scale in drug repurposing and drug safety through the identification of mechanism of action of biological effects. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s13321-016-0147-1 | J. Cheminformatics |
Keywords | Field | DocType |
3D molecular structure,Adverse effect,Pharmacophoric,Target | Adverse drug effects,Drug adverse effect,Computer science,Adverse effect,Chemical similarity,Bioinformatics,Big data,Drug | Journal |
Volume | Issue | ISSN |
8 | 1 | 1758-2946 |
Citations | PageRank | References |
3 | 0.38 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Santiago Vilar | 1 | 106 | 9.12 |
| George Hripcsak | 2 | 1493 | 160.86 |