Niccolai Neri, Morandi Edoardo, Bernini Andrea
Department of Biotechnology, Chemistry and Pharmacy, University of Siena, 53100 Siena, Italy.
Int J Mol Sci. 2024 Dec 13;25(24):13375. doi: 10.3390/ijms252413375.
Living systems cannot rely on random intermolecular approaches toward cell crowding, and hidden mechanisms must be present to favor only those molecular interactions required explicitly by the biological function. Electromagnetic messaging among proteins is proposed from the observation that charged amino acids located on the protein surface are mostly in adjacent sequence positions and/or in spatial proximity. Molecular dynamics (MD) simulations have been used to predict electric charge proximities arising from concerted motions of charged amino acid side chains in two protein model systems, human ubiquitin and the chitinolytic enzyme from . This choice has been made for their large difference in size and sociality. Protein electrodynamics seems to emerge as the framework for a deeper understanding of the long-distance interactions of proteins with their molecular environment. Our findings will be valuable in orienting the design of proteins with specific recognition patterns.
生命系统不能依赖随机的分子间方式来应对细胞拥挤,必然存在隐藏机制,仅支持生物功能明确需要的那些分子相互作用。基于蛋白质表面带电荷氨基酸大多处于相邻序列位置和/或空间邻近位置这一观察结果,提出了蛋白质间的电磁信号传递。分子动力学(MD)模拟已被用于预测两种蛋白质模型系统(人泛素和来自[具体来源未给出]的几丁质分解酶)中带电荷氨基酸侧链协同运动产生的电荷邻近性。做出这种选择是因为它们在大小和社会性方面存在很大差异。蛋白质电动力学似乎成为更深入理解蛋白质与其分子环境之间长距离相互作用的框架。我们的发现对于指导具有特定识别模式的蛋白质设计将具有重要价值。