大数据时代杂合酶的设计及其新趋势

Trend of hybrid enzyme design in the big data era

摘要:

酶分子的高效性和稳定性是工业广泛应用的物质基础。利用分子生物学技术可以将不同酶分子通过串联、插入、翻译后融合等方式构建成符合工业需求的杂合酶，但应用中多结构域杂合酶在表达量与酶活等方面仍存在弊端，而基于特定蛋白质结构域的多功能设计成为新趋势。高通量测序技术的发展，使得生物学家正面临着爆炸式增长的大数据集。近年来“蛋白质功能区”概念的提出，拓宽了人们对蛋白质结构与功能组织层次的认知，功能区残基聚簇的协同演化可导致同一家族不同蛋白质功能的差异。基于海量大数据分析可以快速定位特定功能区以及协同进化的关键位点，再利用合成生物学技术就可实现多种功能残基在同一蛋白质中的精准嫁接，完成天然酶分子的再设计。这将是杂合酶技术发展的新阶段，也会成为生物大数据时代下蛋白质设计的新趋势。

Abstract:

The high efficiency and stability of enzymes are the basis for industrial application. Hybrid enzyme suitable for industrial applications could be constructed by many molecular biology technologies including tandem fusion, domain insertion and post-translational protein conjugation. However, the low expression and activity of hybrid enzyme limit its application in industrial production, and multifunctional design of a specific protein domain has been becoming a new trend. With the advent of high-throughput sequencing, biologists are starting to wrestling with massive data sets. Besides, the concept of protein sectors and co-evolution provides novel insight into the relationship of protein structure and function. The residues–covariation of a protein sector displays preference, which imparts functional diversity to different enzymes in the same family. The covariation-residues in specific protein sectors can be located based on the analysis of massive data, and then these functional residues can be assembled in a new enzyme variant using the biotechnology of synthetic biology, thus completing the redesign of natural enzymes. This indicates a new stage of designing hybrid enzyme, as well as the new trend of protein design in the era of biological big data.