Enhancing PROTAC Ternary Complex Prediction with Ligand Information in AlphaFold 3

This repository contains 48 structures predicted with AlphaFold 3, reported in the publication "Enhancing PROTAC Ternary Complex Prediction with Ligand Information in AlphaFold 3" by Francisco Erazo, Nils Dunlop, Farzaneh Jalalypour, Rocío Mercado. The accompaning code is available at: https://github.com/NilsDunlop/PROTACFold/. By using this information, you agree to AlphaFold 3 Output Terms of Use found at https://github.com/google-deepmind/alphafold3/blob/main/OUTPUT_TERMS_OF_USE.md.To request access to the AlphaFold 3 model parameters, follow the process set out at https://github.com/google-deepmind/alphafold3. You may only use these if received directly from Google. Use is subject to terms of use available at https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md.本仓库收录了由AlphaFold 3（AlphaFold 3）预测得到的48个蛋白质结构，相关成果已发表于Francisco Erazo、Nils Dunlop、Farzaneh Jalalypour、Rocío Mercado共同撰写的论文《基于配体信息优化AlphaFold 3的蛋白降解靶向嵌合体（PROTAC）三元复合物预测》"Enhancing PROTAC Ternary Complex Prediction with Ligand Information in AlphaFold 3"。配套代码可于以下地址获取：https://github.com/NilsDunlop/PROTACFold/。 使用本数据集即代表您同意遵守AlphaFold 3输出使用条款，相关条款可参阅：https://github.com/google-deepmind/alphafold3/blob/main/OUTPUT_TERMS_OF_USE.md。若需申请获取AlphaFold 3模型参数，请遵循https://github.com/google-deepmind/alphafold3页面中指定的流程。您仅可使用直接由Google提供的模型参数，使用时需遵守https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md中所列的使用条款。