Name
Abstract | ||
|---|---|---|
A Summary: The New E-Resource for Drug Discovery (NERDD) is a quickly expanding web portal focused on the provision of peer-reviewed in silico tools for drug discovery. NERDD currently hosts tools for predicting the sites of metabolism (FAME) and metabolites (GLORY) of small organic molecules, for flagging compounds that are likely to interfere with biological assays (Hit Dexter), and for identifying natural products and natural product derivatives in large compound collections (NP-Scout). Several additional models and components are currently in development. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1093/bioinformatics/btz695 | BIOINFORMATICS |
Field | DocType | Volume |
Data mining,World Wide Web,Drug discovery,Computer science,In silico | Journal | 36 |
Issue | ISSN | Citations |
4 | 1367-4803 | 1 |
PageRank | References | Authors |
0.37 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Conrad Stork | 1 | 4 | 1.11 |
| Gerd Embruch | 2 | 1 | 0.37 |
| Martin Sicho | 3 | 5 | 1.93 |
| Christina de Bruyn Kops | 4 | 6 | 1.42 |
| Ya Chen | 5 | 1 | 0.37 |
| Daniel Svozil | 6 | 66 | 8.35 |
| Johannes Kirchmair | 7 | 216 | 42.23 |