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. 2022 Feb 27:10.4155/fmc-2021-0269. doi: 10.4155/fmc-2021-0269

Figure 3. Evaluation of the generated molecules.

Figure 3.

(A) A principal component analysis was performed on 24 physicochemical features calculated on the pretraining set, the fine-tuned set and the generated molecular set. The first two principal components (PC1, PC2) were selected. (B) Scoring of molecules generated by reinforcement learning.

Mpro: Main protease; PLpro: Papain-like protease; QED: Quantitative estimate of drug-likeness; SA: Synthetic accessibility score.