RESUMO
Post-translational modifications (PTMs) are pivotal in the orchestration of diverse physiological and pathological processes. Despite this, the identification of functional PTM sites within the vast amount of data remains challenging. Conventionally, those PTM sites are discerned through labor-intensive and time-consuming experiments. Here, we developed an integrated analytical approach for the identification of functional PTM sites on metabolic enzymes via a screening process. Through gene ontology (GO) analysis, we identified 269 enzymes with lysine 2-hydroxyisobutyrylation (Khib) from our proteomics data set of Escherichia coli. The first round of screening was performed based on the enzyme structures/predicted structures using the TM-score engineer, a tool designed to evaluate the impact of PTM on the protein structure. Subsequently, we examined the influence of Khib on the enzyme-substrate interactions through both static and dynamic analyses, molecular docking, and molecular dynamics simulation. Ultimately, we identified NfsB K181hib and ThiF K83hib as potential functional sites. This work has established a novel analytical approach for the identification of functional protein PTM sites, thereby contributing to the understanding of Khib functions.
