Machado Lucas de Almeida, Sartori João, Franklin Paula Fernandes da Costa, Costa Mauricio G S, Guimarães Ana Carolina Ramos
Instituto Nacional de Saúde da Mulher, da Criança e do Adolescente - Fiocruz, Rio de Janeiro, Brazil 22250-020.
Laboratório de Genômica Aplicada e Bioinovações - Instituto Oswaldo Cruz/Fiocruz, Rio de Janeiro, Brazil 21040-900.
J Chem Inf Model. 2025 Jan 27;65(2):517-527. doi: 10.1021/acs.jcim.4c01928. Epub 2025 Jan 8.
Protein dynamics is essential for various biological processes, influencing functions such as enzyme activity, molecular recognition, and signal transduction. However, traditional protein engineering methods often focus on static structures, lacking tools to precisely manipulate dynamic behaviors. Here, we developed Mutational Energy Landscape Trap (MELT), a novel method designed to control protein dynamics by combining Normal Mode Analysis (NMA) and mutagenesis. MELT works by displacing protein structures along low-frequency normal modes and introducing mutations to either lock proteins in these conformations or increase dynamics along the chosen normal modes. We tested MELT using hen-egg lysozyme as a model system. The method was validated by monitoring relevant collective coordinates during molecular dynamics simulations and evaluation of the collective movements of each construct. Our experiments showed that MELT was able to consistently create new protein sequences with the desired dynamical behavior in simulations. It demonstrates its potential for applications in the field of protein engineering, being an unprecedented way of manipulating protein features.
蛋白质动力学对于各种生物过程至关重要,它影响着诸如酶活性、分子识别和信号转导等功能。然而,传统的蛋白质工程方法通常侧重于静态结构,缺乏精确操纵动态行为的工具。在此,我们开发了突变能量景观陷阱(MELT),这是一种通过结合正常模式分析(NMA)和诱变来控制蛋白质动力学的新方法。MELT的工作原理是沿着低频正常模式移动蛋白质结构,并引入突变以将蛋白质锁定在这些构象中,或者增加沿所选正常模式的动力学。我们以鸡蛋清溶菌酶为模型系统测试了MELT。通过在分子动力学模拟过程中监测相关的集体坐标以及评估每个构建体的集体运动,该方法得到了验证。我们的实验表明,MELT能够在模拟中持续创建具有所需动态行为的新蛋白质序列。它展示了其在蛋白质工程领域的应用潜力,是一种前所未有的操纵蛋白质特征的方式。