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. Author manuscript; available in PMC: 2012 Dec 18.
Published in final edited form as: Bioinformatics. 2010 Mar 17;26(9):1169–1175. doi: 10.1093/bioinformatics/btq112

Table 3.

Performance of scoring functions on the PDBbind benchmark.

scoring function R Rs SD
RF-Score 0.778 0.765 1.58
X-Score::HMScore 0.644 0.705 1.83
DrugScoreCSD 0.569 0.627 1.96
SYBYL::ChemScore 0.555 0.585 1.98
DS::PLP1 0.545 0.588 2.00
GOLD::ASP 0.534 0.577 2.02
SYBYL::G-Score 0.492 0.536 2.08
DS::LUDI3 0.487 0.478 2.09
DS::LigScore2 0.464 0.507 2.12
GlideScore-XP 0.457 0.435 2.14
DS::PMF 0.445 0.448 2.14
GOLD::ChemScore 0.441 0.452 2.15
SYBYL::D-Score 0.392 0.447 2.19
DS::Jain 0.316 0.346 2.24
GOLD::GoldScore 0.295 0.322 2.29
SYBYL::PMF-Score 0.268 0.273 2.29
SYBYL::F-Score 0.216 0.243 2.35

Pearson’s correlation coefficient (R), Spearman’s correlation coefficient (Rs) and standard deviation of the difference between predicted and measured binding affinity (SD). Scoring functions are ordered in decreasing R, as in (Cheng et al.,2009).