Chemical Biotechnology Research Center, Korea Research Institute of Chemical Technology, Yuseong-gu, Daejeon, Korea.
Biotechnol Prog. 2010 Jul-Aug;26(4):1038-46. doi: 10.1002/btpr.408.
Protein thermostability is a crucial issue in the practical application of enzymes, such as inorganic synthesis and enzymatic polymerization of phenol derivatives. Much attention has been focused on the enhancement and numerous successes have been achieved through protein engineering methods. Despite fruitful results based on random mutagenesis, it was still necessary to develop a novel strategy that can reduce the time and effort involved in this process. In this study, a rapid and effective strategy is described for increasing the thermal stability of a protein. Instead of random mutagenesis, a rational strategy was adopted to theoretically stabilize the thermo labile residues of a protein using computational methods. Protein residues with high flexibility can be thermo labile due to their large range of movement. Here, residue B factor values were used to identify putatively thermo labile residues and the RosettaDesign program was applied to search for stable sequences. Coprinus cinereus (CiP) heme peroxidase was selected as a model protein for its importance in commercial applications, such as the polymerization of phenolic compounds. Eleven CiP residues with the highest B factor values were chosen as target mutation sites for thermostabilization, and then redesigned using RosettaDesign to identify sequences. Eight mutants based on the redesigns, were produced as functional enzymes and two of these (S323Y and E328D) showed increased thermal stability over the wild-type in addition to conserved catalytic activity. Thus, this strategy can be used as a rapid and effective in silico design tool for obtaining thermostable proteins.
蛋白质的热稳定性是酶实际应用中的一个关键问题,例如无机合成和酚类衍生物的酶聚合。人们高度关注提高蛋白质热稳定性的方法,并通过蛋白质工程方法取得了许多成功。尽管基于随机诱变的研究取得了丰硕的成果,但仍有必要开发一种新的策略,可以减少这个过程中的时间和精力投入。在这项研究中,描述了一种提高蛋白质热稳定性的快速有效的策略。我们采用合理的策略,而不是随机诱变,使用计算方法从理论上稳定蛋白质的不稳定热残基。由于其较大的运动范围,具有高柔韧性的蛋白质残基可能不稳定。在这里,使用残基 B 因子值来鉴定可能不稳定的残基,并应用 RosettaDesign 程序搜索稳定的序列。灰盖鬼伞(CiP)血红素过氧化物酶被选作模型蛋白,因为它在商业应用中很重要,例如酚类化合物的聚合。选择 CiP 中 11 个 B 因子值最高的残基作为目标突变位点进行热稳定性改造,并使用 RosettaDesign 重新设计以鉴定序列。根据重新设计生产了 8 个突变体,其中 2 个(S323Y 和 E328D)的热稳定性高于野生型,同时保持了催化活性。因此,该策略可用作获得热稳定蛋白的快速有效的计算设计工具。