Fig. 4
Column 1: the distribution plots of the evaluation function’s outputs for samples generated from the different model types used in the experiment. Column 2: the convergence plot of the RL and IRL-trained models during training; the y-axis represents the mean value of the experiment’s evaluation function output for samples generated at a point during training. The demo SMILES results correspond to the demonstration files of a given experiment. The unbiased SMILES results correspond to samples generated from the pretrained (unbiased or prior) model. Column 3: the convergence plot of the Stack-RNN-TL model during training. (A) The results of DRD2 experiment. (B) The results of LogP optimization experiment. (C) The results of JAK2 maximization. (D) The results of JAK2 minimization experiment.

Column 1: the distribution plots of the evaluation function’s outputs for samples generated from the different model types used in the experiment. Column 2: the convergence plot of the RL and IRL-trained models during training; the y-axis represents the mean value of the experiment’s evaluation function output for samples generated at a point during training. The demo SMILES results correspond to the demonstration files of a given experiment. The unbiased SMILES results correspond to samples generated from the pretrained (unbiased or prior) model. Column 3: the convergence plot of the Stack-RNN-TL model during training. (A) The results of DRD2 experiment. (B) The results of LogP optimization experiment. (C) The results of JAK2 maximization. (D) The results of JAK2 minimization experiment.

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close