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The global patent landscape of HER2-targeted biologics

Global patents on HER2-targeted biologics show rapid growth and a diversified technology pattern.

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Fig. 1: Flow diagram of the data processing of the patent sample.
Fig. 2: Patent documents by publication year.
Fig. 3: Technology classes and time trends of patents.
Fig. 4: Technology flow landscape.
Fig. 5: Radar charts of amino acid classification of CDRs in HER2 mAb patents.
Fig. 6: Frequency plot of sequence logos of HER2 mAb sequences in patents.

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Acknowledgements

This study was supported by the National Science and Technology Major project (2020ZX09201021), the National Natural Science Foundation of China project (8197247, 82273204 and 82203086), the Sun Yat-sen University Clinical Research 5010 Program (2018007), the Guangzhou Science and Technology Major Program (202206010078), the Guangzhou Science and Technology Program (202201020574 and 202201020246), the Medical Artificial Intelligence Project of Sun Yat-sen Memorial Hospital (YXRGZN201902), the CSCO-Hengrui Cancer Research Foundation (Y-HR2018-284), the Guangdong Basic and Applied Basic Research Foundation project (2020A1515110756 and 2023A1515010916), the China Postdoctoral Science Foundation (2020TQ0377 and 2020M683168), the Zhuhai UM Science & Technology Research Institute project (ZUMRI/064/2021) and the Science and Technology Development Fund, Macau SAR (SKL-QRCM(UM)-2023-2025).

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Correspondence to Yuanjia Hu or Herui Yao.

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Supplementary Fig. 1 and Supplementary Tables 1–3

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Li, Q., Xu, J., Sun, Q. et al. The global patent landscape of HER2-targeted biologics. Nat Biotechnol 41, 756–764 (2023). https://doi.org/10.1038/s41587-023-01814-8

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