In-depth sequence-function characterization reveals multiple paths to enhance phenylalanine ammonia-lyase (PAL) activity

苯丙氨酸解氨酶 变异鱼腥藻 活动站点 苯丙氨酸 生物化学 计算生物学 酶动力学 肉桂酸 化学 生物 遗传学 氨基酸 细菌 蓝藻
作者
Vikas D. Trivedi,Todd C. Chappell,Naveen B. Krishna,Anuj Shetty,Gladstone Sigamani,Karishma Mohan,Athreya Ramesh,Pravin Kumar R.,Nikhil U. Nair
标识
DOI:10.1101/2021.06.06.447205
摘要

ABSTRACT Phenylalanine ammonia-lyases (PALs) deaminate L-phenylalanine to trans -cinnamic acid and ammonium and have idespread application in chemo-enzymatic synthesis, agriculture, and medicine. In particular, the PAL from Anabaena variabilis ( Trichormus variabilis ) has garnered significant attention as the active ingredient in Pegvaliase®, the only FDA-approved drug treating classical phenylketonuria (PKU). Although an extensive body of literature exists on structure, substrate-specificity, and catalytic mechanism, protein-wide sequence determinants of function remain unknown, which limits the ability to rationally engineer these enzymes. Previously, we developed a high-throughput screen (HTS) for PAL, and here, we leverage it to create a detailed sequence-function landscape of PAL by performing deep mutational scanning (DMS). Our method revealed 79 hotspots that affected a positive change in enzyme fitness, many of which have not been reported previously. Using fitness values and structure-function analysis, we picked a subset of residues for comprehensive single- and multi-site saturation mutagenesis to improve the catalytic activity of PAL and identified combinations of mutations that led to improvement in reaction kinetics in cell-free and cellular contexts. To understand the mechanistic role of the most beneficial mutations, we performed QM/MM and MD and observed that different mutants confer improved catalytic activity via different mechanisms, including stabilizing first transition and intermediate states and improving substrate diffusion into the active site, and decreased product inhibition. Thus, this work provides a comprehensive sequence-function relationship for PAL, identifies positions that improve PAL activity when mutated and assesses their mechanisms of action.

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