Correction to: Scientific Reports https://doi.org/10.1038/s41598-025-18518-5, published online 29 September 2025
The original version of this Article contained errors in the legend of Figure 1 contained an error, where the CC BY-SA 4.0’ was omitted. As a result
“Ribbon diagram of the EGFR structure, with distinct functional regions highlighted in different colors. The ligand-binding domain (yellow–orange) facilitates interaction with epidermal growth factor, while the kinase domain (blue–cyan) contains the catalytic loop responsible for phosphorylation activity. The juxtamembrane segment (red–green) plays a regulatory role in signal transduction. The magenta-colored loop represents a key motif involved in conformational changes upon activation. This color-coded representation enables clear visualization of EGFR’s structural organization and functional domains.”
now reads:
“Ribbon diagram of the EGFR structure, with distinct functional regions highlighted in different colors. The ligand-binding domain (yellow–orange) facilitates interaction with epidermal growth factor, while the kinase domain (blue–cyan) contains the catalytic loop responsible for phosphorylation activity. The juxtamembrane segment (red–green) plays a regulatory role in signal transduction. The magenta-colored loop represents a key motif involved in conformational changes upon activation. This color-coded representation enables clear visualization of EGFR’s structural organization and functional domains. Structural model of the Epidermal Growth Factor Receptor (EGFR). Image adapted from Wikipedia (https://en.wikipedia.org/wiki/Epidermal_growth_factor_receptor), licensed under CC BY-SA 4.0”
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Alghamdi, W., Ali, F., Alsini, R. et al. Correction: A deep learning model for epidermal growth factor receptor prediction using ensemble residual convolutional neural network. Sci Rep 15, 38666 (2025). https://doi.org/10.1038/s41598-025-26793-5
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DOI: https://doi.org/10.1038/s41598-025-26793-5
