Name
Abstract | ||
|---|---|---|
Predicting protein/ligand binding affinity is one of the most challenging computational chemistry tasks. Numerous methods have been developed to address this challenge, but they all have limitations. Failure to account for protein flexibility has been a shortcoming of many methods. In this cross-docking study the data set comprised 150 inhibitor complexes of the protein kinase CDK2. Gold and Glide performed well in terms of docking accuracy. The chance of cross-docking a ligand within a 2 angstrom RMSD of its experimental pose was found to be 50%. Relative binding potency was not properly predicted from scoring functions, even though cross-docking of each inhibitor into each protein structure was performed and only scores of correctly docked ligands were considered. An accompanying paper (Voigt, J. H.; Elkin, C.; Madison, V. S. Duca, J. S. J. Chem. Inf. Model. 2008, 48, 669-678) covers cross-docking and docking accuracy from the perspective of using multiple protein structures. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1021/ci7004274 | JOURNAL OF CHEMICAL INFORMATION AND MODELING |
Field | DocType | Volume |
Cyclin-dependent kinase 2,Docking (dog),Ligand,Ligand (biochemistry),Chemistry,Bioinformatics,Cross-docking,Protein kinase A,Protein structure,Scoring functions for docking | Journal | 48 |
Issue | ISSN | Citations |
3 | 1549-9596 | 3 |
PageRank | References | Authors |
0.48 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José S. Duca | 1 | 34 | 4.32 |
| Vincent S. Madison | 2 | 10 | 1.05 |
| Johannes H. Voigt | 3 | 93 | 12.24 |