Name
Title | ||
|---|---|---|
Comparative assessment of strategies to identify similar ligand-binding pockets in proteins. |
Abstract | ||
|---|---|---|
Thorough benchmarks reveal that G-LoSA offers a fairly robust overall performance, whereas the accuracy of APoc and SiteEngine is satisfactory only against easy datasets. Moreover, combining various algorithms into a meta-predictor improves the performance of existing methods to detect similar binding sites in unrelated proteins by 5-10%. All data reported in this paper are freely available at https://osf.io/6ngbs/ . |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12859-018-2109-2 | BMC Bioinformatics |
Keywords | Field | DocType |
Drug design,Drug repositioning,Drug repurposing,Drug side-effect,Ligand-binding sites,Pocket comparison,Structure-based virtual screening | Drug discovery,Drug repositioning,Biology,Ligand (biochemistry),Computational biology,Genetics,Virtual screening,AutoDock,Benchmarking | Journal |
Volume | Issue | ISSN |
19 | 1 | 1471-2105 |
Citations | PageRank | References |
3 | 0.38 | 26 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rajiv Gandhi Govindaraj | 1 | 6 | 1.08 |
| Michal Brylinski | 2 | 37 | 6.10 |