March 20, 2024, 9:17 p.m. | /u/christophr88

Machine Learning www.reddit.com

Paper here: [https://www.nature.com/articles/s41586-021-03819-2](https://www.nature.com/articles/s41586-021-03819-2)

Figure 2 here: [https://www.nature.com/articles/s41586-021-03819-2/figures/2](https://www.nature.com/articles/s41586-021-03819-2/figures/2)

In Figure 2, they show a series of charts but I don't understand what is the main point the authors want to make. There's a brief paragraph that mentions its:

>we observe high side-chain accuracy when the backbone prediction is accurate (Fig. [2b](https://www.nature.com/articles/s41586-021-03819-2#Fig2)) and we show that our confidence measure, the predicted local-distance difference test (pLDDT), **reliably predicts the Cα local-distance difference test (lDDT-Cα) accuracy of the corresponding prediction** (Fig. [2c](https://www.nature.com/articles/s41586-021-03819-2#Fig2)). We also …

authors charts figure interpretation machinelearning plot protein series show shows

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