Skip to main content

Table 4 The comparison between condtional generative models RL based models in the task of generating molecules containing scaffold 4

From: Multi-objective de novo drug design with conditional graph generative model

Model

% valid

\(R_{\mathbf{c}}\)

\(EOR_{\mathbf{c}}\)

Diversity (\(I_{\mathbf{c}}\))

REINVENT

0.998 ± 0.000

1.000 ± 0.000

172

0.75 ± 0.01

Naive RL

0.984 ± 0.015

0.999 ± 0.001

172

0.48 ± 0.08

RL + Prior

0.999 ± 0.001

1.000 ± 0.000

172

0.55 ± 0.09

Graph

0.982 ± 0.001

0.88 ± 0.01

151

0.815 ± 0.001

SMILES

0.969 ± 0.002

0.88 ± 0.00

151

0.819 ± 0.000

  1. Results are reported as \(Mean \pm SD\)
  2. The best performance in each metric is highlighted in italics face