Author Correction: Improved prediction of protein-protein interactions using AlphaFold2
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DOI: 10.1038/s41467-022-29480-5
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- Qianqiao Liu & Beth M. Stadtmueller, 2023. "SIgA structures bound to Streptococcus pyogenes M4 and human CD89 provide insights into host-pathogen interactions," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
- Kazutoshi Tani & Ryo Kanno & Xuan-Cheng Ji & Itsusei Satoh & Yuki Kobayashi & Malgorzata Hall & Long-Jiang Yu & Yukihiro Kimura & Akira Mizoguchi & Bruno M. Humbel & Michael T. Madigan & Zheng-Yu Wang, 2023. "Rhodobacter capsulatus forms a compact crescent-shaped LH1–RC photocomplex," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
- Zhiye Guo & Jian Liu & Jeffrey Skolnick & Jianlin Cheng, 2022. "Prediction of inter-chain distance maps of protein complexes with 2D attention-based deep neural networks," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
- Tânia F. Custódio & Maxime Killer & Dingquan Yu & Virginia Puente & Daniel P. Teufel & Alexander Pautsch & Gisela Schnapp & Marc Grundl & Jan Kosinski & Christian Löw, 2023. "Molecular basis of TASL recruitment by the peptide/histidine transporter 1, PHT1," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
- Hélène Bret & Jinmei Gao & Diego Javier Zea & Jessica Andreani & Raphaël Guerois, 2024. "From interaction networks to interfaces, scanning intrinsically disordered regions using AlphaFold2," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
- Patrick Bryant & Frank Noé, 2024. "Structure prediction of alternative protein conformations," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
- Brooke M. Britton & Remy A. Yovanno & Sara F. Costa & Joshua McCausland & Albert Y. Lau & Jie Xiao & Zach Hensel, 2023. "Conformational changes in the essential E. coli septal cell wall synthesis complex suggest an activation mechanism," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
- Andreas Lackner & Michael Müller & Magdalena Gamperl & Delyana Stoeva & Olivia Langmann & Henrieta Papuchova & Elisabeth Roitinger & Gerhard Dürnberger & Richard Imre & Karl Mechtler & Paulina A. Lato, 2023. "The Fgf/Erf/NCoR1/2 repressive axis controls trophoblast cell fate," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
- Marin Matic & Pasquale Miglionico & Manae Tatsumi & Asuka Inoue & Francesco Raimondi, 2023. "GPCRome-wide analysis of G-protein-coupling diversity using a computational biology approach," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
- Genki Hibi & Taro Shiraishi & Tatsuki Umemura & Kenji Nemoto & Yusuke Ogura & Makoto Nishiyama & Tomohisa Kuzuyama, 2023. "Discovery of type II polyketide synthase-like enzymes for the biosynthesis of cispentacin," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
- Patrick Bryant & Gabriele Pozzati & Wensi Zhu & Aditi Shenoy & Petras Kundrotas & Arne Elofsson, 2022. "Predicting the structure of large protein complexes using AlphaFold and Monte Carlo tree search," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
- Jian Sun & Guangchen Zhang & Zhibo Cui & Ximan Kong & Xiaoyu Yu & Rui Gui & Yuqing Han & Zhuan Li & Hong Lang & Yuchen Hua & Xuemin Zhang & Quan Xu & Liang Tang & Zhengjin Xu & Dianrong Ma & Wenfu Che, 2022. "Regain flood adaptation in rice through a 14-3-3 protein OsGF14h," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
- Devlina Chakravarty & Joseph W. Schafer & Ethan A. Chen & Joseph F. Thole & Leslie A. Ronish & Myeongsang Lee & Lauren L. Porter, 2024. "AlphaFold predictions of fold-switched conformations are driven by structure memorization," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
- Christoph Buhlheller & Theo Sagmeister & Christoph Grininger & Nina Gubensäk & Uwe B. Sleytr & Isabel Usón & Tea Pavkov-Keller, 2024. "SymProFold: Structural prediction of symmetrical biological assemblies," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
- Yang Yue & Shu Li & Yihua Cheng & Lie Wang & Tingjun Hou & Zexuan Zhu & Shan He, 2024. "Integration of molecular coarse-grained model into geometric representation learning framework for protein-protein complex property prediction," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
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