Du Huiwen, Hu Xiaoyu, Duan Hongyang, Yu Lanlan, Qu Fuyang, Huang Qunxing, Zheng Wangshu, Xie Hanyi, Peng Jiaxi, Tuo Rui, Yu Dan, Lin Yuchen, Li Wenzhe, Zheng Yongfang, Fang Xiaocui, Zou Yimin, Wang Huayi, Wang Mengting, Weiss Paul S, Yang Yanlian, Wang Chen
Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety (Chinese Academy of Sciences), and Key Laboratory of Standardization and Measurement for Nanotechnology (Chinese Academy of Sciences), National Center for Nanoscience and Technology, Beijing 100190, P. R. China.
University of Chinese Academy of Sciences, Beijing 100049, P. R. China.
ACS Cent Sci. 2019 Jan 23;5(1):97-108. doi: 10.1021/acscentsci.8b00723. Epub 2019 Jan 14.
We have determined the interaction strengths of the common naturally occurring amino acids using a complete binding affinity matrix of 20 × 20 pairs of homo-octapeptides consisting of the 20 common amino acids between stationary and mobile states. We used a bead-based fluorescence assay for these measurements. The results provide a basis for analyzing specificity, polymorphisms, and selectivity of inter-amino-acid interactions. Comparative analyses of the binding energies, i.e., the free energies of association (Δ ), reveal contributions assignable to both main-chain-related and side-chain-related interactions originating from the chemical structures of these 20 common amino acids. Side-chain-side-chain and side-chain-main-chain interactions are found to be pronounced in an identified set of amino acid pairs that determine the basis of inter-amino-acid recognition.
我们使用了由20种常见氨基酸组成的20×20对同型八肽的完整结合亲和力矩阵,测定了常见天然存在氨基酸在固定态和流动态之间的相互作用强度。我们使用基于珠子的荧光测定法进行这些测量。这些结果为分析氨基酸间相互作用的特异性、多态性和选择性提供了基础。结合能(即缔合自由能Δ)的比较分析揭示了源自这20种常见氨基酸化学结构的主链相关和侧链相关相互作用的贡献。在一组确定的氨基酸对中发现侧链-侧链和侧链-主链相互作用很明显,这些氨基酸对决定了氨基酸间识别的基础。