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Fig. 10 | Journal of Cheminformatics

Fig. 10

From: Learning protein-ligand binding affinity with atomic environment vectors

Fig. 10

Performance of different machine learning and deep learning models for binding affinity prediction on the CASF-2013 and CASF-2016 benchmarks as well as for the Core 2016 set. Our results, shown in orange, include 90% confidence intervals. Numerical values for the Pearson’s correlation coefficient and the RMSE are reported in Table S3, together with references for all the different methods [4, 11, 20, 22,23,24,25, 52, 65, 66, 75,76,77,78]

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