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The Statistical Trends of Protein Evolution: A Lesson from AlphaFold Database
View ORCID ProfileQian-Yuan Tang, View ORCID ProfileWeitong Ren, View ORCID ProfileJun Wang, View ORCID ProfileKunihiko Kaneko
doi: https://doi.org/10.1101/2022.04.07.487447
Qian-Yuan Tang
1Lab for Neural Computation and Adaptation, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0106, Japan
Weitong Ren
2Theoretical Molecular Science Laboratory, RIKEN Cluster for Pioneering Research, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
Jun Wang
3School of Physics, National Laboratory of Solid State Microstructure, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, China
Kunihiko Kaneko
4Center for Complex Systems Biology, Universal Biology Institute, University of Tokyo, Komaba, Meguro, Tokyo 153-8902, Japan
5The Niels Bohr Institute, University of Copenhagen, Copenhagen, Blegdamsvej 17, 2100-DK, Denmark
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Posted September 14, 2022.
The Statistical Trends of Protein Evolution: A Lesson from AlphaFold Database
Qian-Yuan Tang, Weitong Ren, Jun Wang, Kunihiko Kaneko
bioRxiv 2022.04.07.487447; doi: https://doi.org/10.1101/2022.04.07.487447
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