Socher Eileen, Sticht Heinrich
Division of Bioinformatics, Institute of Biochemistry, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Fahrstraße 17, 91054 Erlangen, Germany.
Sci Rep. 2016 Mar 3;6:22523. doi: 10.1038/srep22523.
Protein structure and function are highly dependent on the environmental pH. However, the temporal or spatial resolution of experimental approaches hampers direct observation of pH-induced conformational changes at the atomic level. Molecular dynamics (MD) simulation strategies (e.g. constant pH MD) have been developed to bridge this gap. However, one frequent problem is the sampling of unrealistic conformations, which may also lead to poor pKa predictions. To address this problem, we have developed and benchmarked the pH-titration MD (pHtMD) approach, which is inspired by wet-lab titration experiments. We give several examples how the pHtMD protocol can be applied for pKa calculation including peptide systems, Staphylococcus nuclease (SNase), and the chaperone HdeA. For HdeA, pHtMD is also capable of monitoring pH-dependent dimer dissociation in accordance with experiments. We conclude that pHtMD represents a versatile tool for pKa value calculation and simulation of pH-dependent effects in proteins.
蛋白质的结构和功能高度依赖于环境pH值。然而,实验方法的时间或空间分辨率阻碍了在原子水平上直接观察pH诱导的构象变化。分子动力学(MD)模拟策略(如恒定pH值MD)已被开发出来以弥补这一差距。然而,一个常见的问题是对不现实构象的采样,这也可能导致pKa预测不佳。为了解决这个问题,我们开发并基准测试了pH滴定MD(pHtMD)方法,该方法受到湿实验室滴定实验的启发。我们给出了几个例子,说明pHtMD协议如何应用于pKa计算,包括肽系统、葡萄球菌核酸酶(SNase)和伴侣蛋白HdeA。对于HdeA,pHtMD还能够根据实验监测pH依赖性二聚体解离。我们得出结论,pHtMD是一种用于计算pKa值和模拟蛋白质中pH依赖性效应的通用工具。