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蛋白质中pKa值的决定因素。

The determinants of pKas in proteins.

作者信息

Antosiewicz J, McCammon J A, Gilson M K

机构信息

Department of Chemistry and Biochemistry, University of California at San Diego, La Jolla 92093-0365, USA.

出版信息

Biochemistry. 1996 Jun 18;35(24):7819-33. doi: 10.1021/bi9601565.

DOI:10.1021/bi9601565
PMID:8672483
Abstract

Although validation studies show that theoretical models for predicting the pKas of ionizable groups in proteins are increasingly accurate, a number of important questions remain: (1) What factors limit the accuracy of current models? (2) How can conformational flexibility of proteins best be accounted for? (3) Will use of solution structures in the calculations, rather than crystal structures, improve the accuracy of the computed pKas? and (4) Why does accurate prediction of protein pKas seem to require that a high dielectric constant be assigned to the protein interior? This paper addresses these and related issues. Among the conclusions are the following: (1) computed pKas averaged over NMR structure sets are more accurate than those based upon single crystal structures; (2) use of atomic parameters optimized to reproduce hydration energies of small molecules improves agreement with experiment when a low protein dielectric constant is assumed; (3) despite use of NMR structures and optimized atomic parameters, pKas computed with a protein dielectric constant of 20 are more accurate than those computed with a low protein dielectric constant; (4) the pKa shifts in ribonuclease A that result from phosphate binding are reproduced reasonably well by calculations; (5) the substantial pKa shifts observed in turkey ovomucoid third domain result largely from interactions among ionized groups; and (6) both experimental data and calculations indicate that proteins tend to lower the pKas of Asp side chains but have little overall effect upon the pKas of other ionizable groups.

摘要

尽管验证研究表明,用于预测蛋白质中可电离基团pKa值的理论模型越来越准确,但仍存在一些重要问题:(1)哪些因素限制了当前模型的准确性?(2)如何最好地考虑蛋白质的构象灵活性?(3)在计算中使用溶液结构而非晶体结构是否会提高计算得到的pKa值的准确性?以及(4)为什么准确预测蛋白质的pKa值似乎需要为蛋白质内部赋予高介电常数?本文探讨了这些及相关问题。得出的结论如下:(1)基于核磁共振(NMR)结构集平均计算得到的pKa值比基于单晶结构的更准确;(2)当假设蛋白质介电常数较低时,使用经过优化以重现小分子水合能的原子参数可提高与实验结果的一致性;(3)尽管使用了NMR结构和优化的原子参数,但蛋白质介电常数为20时计算得到的pKa值比蛋白质介电常数较低时计算得到的更准确;(4)计算结果能较好地重现磷酸结合导致的核糖核酸酶A的pKa值变化;(5)在火鸡卵类粘蛋白第三结构域中观察到的显著pKa值变化主要源于电离基团之间的相互作用;(6)实验数据和计算结果均表明,蛋白质倾向于降低天冬氨酸侧链的pKa值,但对其他可电离基团的pKa值总体影响较小。

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