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Experimental evaluation of single‐domain antibodies predicted by molecular dynamics simulations to have elevated thermal stability

机译:通过分子动力学模拟预测的单结构域抗体的实验评估具有升高的热稳定性

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摘要

Abstract Recently Bekker et al. [Bekker G‐J et al. Protein Sci. 2019;28:429–438.] described a computational strategy of applying molecular‐dynamics simulations to estimate the relative stabilities of single‐domain antibodies, and utilized their method to design changes with the aim of increasing the stability of a single‐domain antibody with a known crystal structure. The structure from which they generated potentially stabilizing mutations is an anti‐cholera toxin single domain antibody selected from a na?ve library which has relatively low thermal stability, reflected by a melting point of 48°C. Their work was purely theoretical, so to examine their predictions, we prepared the parental and predicted stabilizing mutant single domain antibodies and examined their thermal stability, ability to refold and affinity. We found that the mutation that improved stability the most (~7°C) was one which changed an amino acid in CDR1 from an asparagine to an aspartic acid. This change unfortunately was also accompanied by a reduction in affinity. Thus, while their modeling did appear to successfully predict stabilizing mutations, introducing mutations in the binding regions is problematic. Of further interest, the mutations selected via their high temperature simulations, did improve refolding, suggesting that they were successful in stabilizing the structure at high temperatures and thereby decrease aggregation. Our result should permit them to reassess and refine their model and may one day lead to a useful in silico approach to protein stabilization.
机译:摘要最近bekker等。 [Bekker G-J等。蛋白质SCI。 2019; 28:429-438。]描述了应用分子动力学模拟的计算策略,以估计单结构域抗体的相对稳定性,并利用它们的方法来设计变化,目的是提高单结构域抗体的稳定性具有已知的晶体结构。它们产生潜在稳定突变的结构是选自纳米库的抗霍乱毒素单结构域抗体,其具有相对较低的热稳定性,由48℃的熔点反射。他们的作品纯粹是理论上的,所以检查他们的预测,我们准备了父母的预测和预测的稳定突变体单结构域抗体,并检查了它们的热稳定性,重折叠和亲和力的能力。我们发现,提高稳定性最大(〜7℃)的突变是将来自天冬酰胺的CDR1中的氨基酸改变为天冬氨酸。不幸的是,这种变化也伴随着亲和力的减少。因此,虽然其建模表现出似乎成功地预测稳定突变,但引入结合区域中的突变是有问题的。进一步利益,通过其高温模拟选择的突变确实改善了重折叠,表明它们成功地稳定在高温下结构,从而降低聚集。我们的结果应允许他们重新评估和改进其模型,可能有一天可以在硅稳定的硅方法中导致A.

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