2014
DOI: 10.1371/journal.pcbi.1003571
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rDock: A Fast, Versatile and Open Source Program for Docking Ligands to Proteins and Nucleic Acids

Abstract: Identification of chemical compounds with specific biological activities is an important step in both chemical biology and drug discovery. When the structure of the intended target is available, one approach is to use molecular docking programs to assess the chemical complementarity of small molecules with the target; such calculations provide a qualitative measure of affinity that can be used in virtual screening (VS) to rank order a list of compounds according to their potential to be active. rDock is a mole… Show more

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Cited by 461 publications
(576 citation statements)
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References 29 publications
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“…Three different docking software were selected for this analysis: GLAMDOCK 47 , PLANTS (Protein-Ligand ANT System) 48 and rDOCK 49 . Three different EF evaluations were thus carried out, each employing 9 docking methods for pose clustering and consensus level calculations, i.e.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Three different docking software were selected for this analysis: GLAMDOCK 47 , PLANTS (Protein-Ligand ANT System) 48 and rDOCK 49 . Three different EF evaluations were thus carried out, each employing 9 docking methods for pose clustering and consensus level calculations, i.e.…”
Section: Resultsmentioning
confidence: 99%
“…This docking software uses a combination of stochastic and deterministic search techniques to generate low energy ligand poses 49 . The docking protocol generates a single ligand pose using 3 stages of Genetic Algorithm search (GA1, GA2, GA3), followed by low temperature Monte Carlo (MC) and Simplex minimization (MIN) stages.…”
Section: Plantsmentioning
confidence: 99%
“…Li et al obtained similar results for Glide and GOLD using a test set of 60 RNA-ligand complexes (60 and 62%, respectively) [70]. On a test set composed of 56 RNA-ligand complexes, in 54% of the cases rDOCK was able to predict the correct binding mode while AutoDock Vina and Glide obtained success rates of 29 and 18%, respectively [64]. For MODOR, a success rate of 74% (based on a data set of 57 complexes), for RiboDock 50% (out of 10 complexes), and for ICM 53% was found (test set containing 96 complexes) [72,73,75].…”
Section: Performance Of Rna-ligand Dockingmentioning
confidence: 70%
“…It contains an empirical scoring function which includes terms for typical RNA-ligand interactions such as guanidinium-RNA interactions and π-π stacking of aromatic rings in addition to terms found in conventional functions such as hydrogen-bond and lipophilic interactions. The program rDock has evolved from RiboDock and is applicable for protein and RNA targets [64]. A GA is used to generate an initial docking pose which is refined using MC simulations.…”
Section: Docking Programs and Scoring Functions Developed For Rnaligamentioning
confidence: 99%
“…51 Docking of AChE inhibitors was performed using the rDock program. 52 A cavity of radius 17 Å, centered on the structure of a superligand containing huprine X, donepezil and propidium (as found in the X-ray structures 1E66, 1EVE and 1N5R) was used to define the docking volume. Since huprine X and propidium are bound to the catalytic and the peripheral binding sites, and donepezil is aligned along the gorge, this definition guarantees the exploration of the binding mode along the whole volume accessible for binding.…”
Section: Molecular Modellingmentioning
confidence: 99%