基础(线性代数)
沸腾
化学
理论(学习稳定性)
热稳定性
蛋白质稳定性
热力学
数学
计算机科学
生物化学
物理
有机化学
几何学
机器学习
作者
T. You,Sai Shi,Cheng Chen,Jiachen Li,Jiayu Xu,Mingxue Ma,Pei Zhu,Tingting Qi,Ting Dong,Yaxin Wang,Sheng Ye,Si Liu
标识
DOI:10.1021/acs.jafc.4c13158
摘要
Monellin, known as the sweetest protein, encounters limitations in the food industry due to its poor thermal stability, prompting modifications to enhance its thermal stability. In our previous work, we utilized Python Rosetta to screen multiple designs, successfully constructing four superstable MNEI (single-chain monellin) mutants that can maintain their sweetness at temperatures up to 100 °C. However, the precise mechanism of increased thermal stability remains unclear. To elucidate the mechanism, we determine the high-resolution crystal structures of four superstable mutants and conduct a comprehensive structural analysis combined with molecular dynamics simulations in our study. Our findings indicate that introduction of mutation sites enhances interactions with surrounding residues in some flexible loop regions, particularly in loop K25-R31, potentially stabilizing flexible regions and may contribute to enhancing the rigidity of the global structure. This study provides a direction for further advancement in mutant modifications.
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