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The directory of useful decoys (DUD) was originally designed for benchmarking of docking methods [22].
The DUD-E was originally designed for benchmarking of docking methods [45].
DUD-E [18] is a database of 102 protein targets with a "chemical library" for each protein, composed of active molecules (an average of 224 per protein) and decoys designed for the benchmarking of docking programs.
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Benchmarks of docking programs are regularly released to compare their performance, whether by using semi-rigid docking (flexible ligand, rigid protein) [7 14], flexible docking (flexible ligand and protein) [15 17], ensemble docking (using several conformations of the protein) [15, 18] or cross-docking (docking ligands taken from some structures on proteins from other structures) [19, 20].
Recently, the laboratory of Weng has made an effort in providing suitable sets of cases for benchmarking of protein protein docking methods.
a) A fresh dataset derived from PDB-Bind core dataset consisting of 195 protein-ligand complexes, which has been developed for the purposes of benchmarking docking algorithms (Kim et al., 2004, Huang et al., 2008).
This collection of data sets was compiled to serve as an unbiased community benchmark database for the evaluation of docking algorithms.
The DUD was designed to serve as an unbiased, publicly available benchmark database for the evaluation of docking methods.
The DUD is a public benchmarking dataset designed for the evaluation of docking methods containing known active compounds for 40 targets, including 36 decoys for each active compound [15].
(My picks, but not the benchmark, were docked 1% for transaction costs).
The benchmark library was docked to each of these binding sites separately.
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