Hantman Noam, Koduru Tejaswi, Peters Edgar V, Jaworek Michel W, McCallum Scott A, Gillilan Richard E, Winter Roland, Cherfils Jacqueline, Royer Catherine A
Graduate Program in Biochemistry and Biophysics, Rensselaer Polytechnic Institute, Troy, NY 12180, United States.
Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, United States.
J Mol Biol. 2025 Jul 26;437(19):169361. doi: 10.1016/j.jmb.2025.169361.
Unlike AI-based protein structure prediction, the sequence determinants of protein dynamics, and thus function, remain elusive. The nucleotide switch in Arf GTPases involves a massive structural change, which we showed recently in Arf1 is facilitated by a dynamic molten globule ensemble. Here we investigate the unresolved sequence-dynamics paradigm by comparing Arf1 and Arf6 using a combination of high-pressure NMR and other biophysical methods. We show that, as for Arf1, the Arf6 nucleotide switch implicates a functional molten globule ensemble, suggesting that this mechanism is a general feature of Arf and Arf-like GTPases. Comparison of the local stability distributions identifies key sequence determinants for the differences in switching between Arf1 and Arf6. Remarkably, these determinants are distant from the nucleotide-binding site, revealing back-to-front allosteric coupling controlling the switch. Evolutionary covariance analysis suggests that this back-to-front allosteric coupling is a fundamental characteristic of the Arf and Arf-like family, and may extend to the entire small GTPase kingdom. Our study thus establishes notable sequence-dynamics relationships with implications for signaling and diseases.
与基于人工智能的蛋白质结构预测不同,蛋白质动力学以及功能的序列决定因素仍然难以捉摸。Arf GTPases中的核苷酸开关涉及大规模的结构变化,我们最近在Arf1中发现这种变化由动态熔球集合促进。在这里,我们结合高压核磁共振和其他生物物理方法,通过比较Arf1和Arf6来研究尚未解决的序列-动力学范式。我们表明,与Arf1一样,Arf6核苷酸开关涉及一个功能性熔球集合,这表明这种机制是Arf和Arf样GTPases的一个普遍特征。局部稳定性分布的比较确定了Arf1和Arf6之间开关差异的关键序列决定因素。值得注意的是,这些决定因素远离核苷酸结合位点,揭示了控制开关的从后到前的变构偶联。进化协方差分析表明,这种从后到前的变构偶联是Arf和Arf样家族的一个基本特征,并且可能扩展到整个小GTPase王国。因此,我们的研究建立了显著的序列-动力学关系,对信号传导和疾病具有重要意义。