TY - JOUR
T1 - Unifying Constraints Linking Protein Folding and Native Dynamics Decoded from AlphaFold
AU - Zhang, Zecheng
AU - Ren, Weitong
AU - Xie, Liangxu
AU - Zheng, Yuxiang
AU - Guan, Xingyue
AU - Wang, Jun
AU - Li, Wenfei
AU - Tang, Qian Yuan
N1 - Funding information:
This research was supported by Research Grants Council of Hong Kong (No. 22302723), Natural Science Foundation of China (Grants No. 12305052, No. 12574224, No. 12347102, and No. 22003020), Hong Kong Baptist University’s funding support (RC-FNRA-IG/22-23/SCI/03), Basic Research Program of Jiangsu Province (BK20253050), and the grant from Wenzhou Institute, University of Chinese Academy of Sciences (WIUCASQD2023015).
Publisher Copyright:
© 2026 American Physical Society.
PY - 2026/2/13
Y1 - 2026/2/13
N2 - The interplay between protein folding and native dynamics remains a central question in biophysics. Analyzing an extensive set of AlphaFold-predicted structures, we uncover a robust relationship between folding topology (contact order) and native dynamics (fluctuation entropy), showing that long-range contacts that slow folding also restrict conformational flexibility across protein sizes and taxonomic groups. Scaling analysis reveals that this relationship, together with its chain-length dependence, is consistent with power-law–like trends, reflecting common organizing constraints of protein architecture. Across species, increasing organismal complexity is associated with proteome-wide shifts toward lower contact order and higher fluctuation entropy. Together, evidence from folding, stability, and functional dynamics converges on unifying constraints, revealing an intrinsic physical organizing principle captured by AI models.
AB - The interplay between protein folding and native dynamics remains a central question in biophysics. Analyzing an extensive set of AlphaFold-predicted structures, we uncover a robust relationship between folding topology (contact order) and native dynamics (fluctuation entropy), showing that long-range contacts that slow folding also restrict conformational flexibility across protein sizes and taxonomic groups. Scaling analysis reveals that this relationship, together with its chain-length dependence, is consistent with power-law–like trends, reflecting common organizing constraints of protein architecture. Across species, increasing organismal complexity is associated with proteome-wide shifts toward lower contact order and higher fluctuation entropy. Together, evidence from folding, stability, and functional dynamics converges on unifying constraints, revealing an intrinsic physical organizing principle captured by AI models.
UR - https://www.scopus.com/pages/publications/105029953148
U2 - 10.1103/7j2j-f8f7
DO - 10.1103/7j2j-f8f7
M3 - Journal article
AN - SCOPUS:105029953148
SN - 0031-9007
VL - 136
JO - Physical Review Letters
JF - Physical Review Letters
IS - 6
M1 - 068401
ER -