Name
Title | ||
|---|---|---|
Importance of ligand conformational energies in carbohydrate docking: Sorting the wheat from the chaff. |
Abstract | ||
|---|---|---|
Docking algorithms that aim to be applicable to a broad range of ligands suffer reduced accuracy because they are unable to incorporate ligand-specific conformational energies. Here, we develop a set of Carbohydrate Intrinsic (CHI) energy functions that quantify the conformational properties of oligosaccharides, based on the values of their glycosidic torsion angles. The relative energies predicted by the CHI energy functions mirror the conformational distributions of glycosidic linkages determined from a survey of oligosaccharide-protein complexes in the protein data bank. Addition of CHI energies to the standard docking scores in Autodock 3, 4.2, and Vina consistently improves pose ranking of oligosaccharides docked to a set of anticarbohydrate antibodies. The CHI energy functions are also independent of docking algorithm, and with minor modifications, may be incorporated into both theoretical modeling methods, and experimental NMR or X-ray structure refinement programs. (c) 2013 Wiley Periodicals, Inc. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1002/jcc.23517 | JOURNAL OF COMPUTATIONAL CHEMISTRY |
Keywords | Field | DocType |
carbohydrate,antibody,autodock vina,docking,energy function | Glycosidic bond,Force field (chemistry),Docking (dog),Searching the conformational space for docking,Computational chemistry,Protein–ligand docking,Molecular Docking Simulation,Chemistry,Protein Data Bank,AutoDock | Journal |
Volume | Issue | ISSN |
35.0 | 7 | 0192-8651 |
Citations | PageRank | References |
1 | 0.36 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anita K. Nivedha | 1 | 1 | 0.36 |
| Spandana Makeneni | 2 | 1 | 0.70 |
| Bethany Lachele Foley | 3 | 1 | 0.70 |
| Matthew B. Tessier | 4 | 1 | 0.36 |
| Robert J Woods | 5 | 485 | 39.49 |