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pKa 协同作用:一项旨在推进基于结构的 pKa 值计算和蛋白质中静电效应计算的合作努力。

The pKa Cooperative: a collaborative effort to advance structure-based calculations of pKa values and electrostatic effects in proteins.

机构信息

School of Biomolecular and Biomedical Science, Centre for Synthesis and Chemical Biology, UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.

出版信息

Proteins. 2011 Dec;79(12):3249-59. doi: 10.1002/prot.23194. Epub 2011 Oct 15.

DOI:10.1002/prot.23194
PMID:22002877
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3375608/
Abstract

The pK(a) Cooperative (http://www.pkacoop.org) was organized to advance development of accurate and useful computational methods for structure-based calculation of pK(a) values and electrostatic energies in proteins. The Cooperative brings together laboratories with expertise and interest in theoretical, computational, and experimental studies of protein electrostatics. To improve structure-based energy calculations, it is necessary to better understand the physical character and molecular determinants of electrostatic effects. Thus, the Cooperative intends to foment experimental research into fundamental aspects of proteins that depend on electrostatic interactions. It will maintain a depository for experimental data useful for critical assessment of methods for structure-based electrostatics calculations. To help guide the development of computational methods, the Cooperative will organize blind prediction exercises. As a first step, computational laboratories were invited to reproduce an unpublished set of experimental pK(a) values of acidic and basic residues introduced in the interior of staphylococcal nuclease by site-directed mutagenesis. The pK(a) values of these groups are unique and challenging to simulate owing to the large magnitude of their shifts relative to normal pK(a) values in water. Many computational methods were tested in this first Blind Prediction Challenge and critical assessment exercise. A workshop was organized in the Telluride Science Research Center to objectively assess the performance of many computational methods tested on this one extensive data set. This volume of Proteins: Structure, Function, and Bioinformatics introduces the pK(a) Cooperative, presents reports submitted by participants in the Blind Prediction Challenge, and highlights some of the problems in structure-based calculations identified during this exercise.

摘要

PK(a) 协同组织(http://www.pkacoop.org)旨在促进开发准确有用的计算方法,以基于结构计算蛋白质中的 pK(a) 值和静电能。该协同组织汇集了在蛋白质静电理论、计算和实验研究方面具有专业知识和兴趣的实验室。为了改进基于结构的能量计算,有必要更好地理解静电效应的物理性质和分子决定因素。因此,该协同组织旨在推动对依赖静电相互作用的蛋白质基本方面的实验研究。它将维护一个实验数据存储库,这些数据对于评估基于结构的静电计算方法非常有用。为了帮助指导计算方法的发展,协同组织将组织盲测练习。作为第一步,邀请计算实验室重现一组未发表的由定点突变引入枯草溶菌素内部的酸性和碱性残基的实验 pK(a) 值。由于这些基团的变化幅度相对于水中的正常 pK(a) 值非常大,因此它们的 pK(a) 值是独特且难以模拟的。在这个第一个盲测挑战和关键评估练习中,测试了许多计算方法。在特柳赖德科学研究中心组织了一个研讨会,客观评估了在这个广泛数据集上测试的许多计算方法的性能。本期《蛋白质:结构、功能与生物信息学》介绍了 PK(a) 协同组织,介绍了盲测挑战参与者提交的报告,并强调了在该练习中发现的一些基于结构计算的问题。

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本文引用的文献

1
Benchmarking pKa Prediction Methods for Residues in Proteins.蛋白质残基的 pKa 值预测方法的基准测试。
J Chem Theory Comput. 2008 Jun;4(6):951-66. doi: 10.1021/ct8000014.
2
Structural reorganization triggered by charging of Lys residues in the hydrophobic interior of a protein.带电的赖氨酸残基在蛋白质疏水内部引发的结构重排。
Structure. 2012 Jun 6;20(6):1071-85. doi: 10.1016/j.str.2012.03.023. Epub 2012 May 25.
3
Arginine residues at internal positions in a protein are always charged.蛋白质内部位置的精氨酸残基总是带电荷的。
Proc Natl Acad Sci U S A. 2011 Nov 22;108(47):18954-9. doi: 10.1073/pnas.1104808108. Epub 2011 Nov 11.
4
Is the prediction of pKa values by constant-pH molecular dynamics being hindered by inherited problems?通过恒 pH 分子动力学预测 pKa 值是否受到固有问题的阻碍?
Proteins. 2011 Dec;79(12):3437-47. doi: 10.1002/prot.23115. Epub 2011 Aug 30.
5
Histidine in continuum electrostatics protonation state calculations.连续静电质子化状态计算中的组氨酸。
Proteins. 2011 Dec;79(12):3410-9. doi: 10.1002/prot.23114. Epub 2011 Aug 30.
6
Measuring the successes and deficiencies of constant pH molecular dynamics: a blind prediction study.衡量恒 pH 分子动力学的成功与不足:一项盲测研究。
Proteins. 2011 Dec;79(12):3381-8. doi: 10.1002/prot.23136. Epub 2011 Aug 30.
7
Exploring conformational changes coupled to ionization states using a hybrid Rosetta-MCCE protocol.使用混合 Rosetta-MCCE 方案探索与电离态相关的构象变化。
Proteins. 2011 Dec;79(12):3356-63. doi: 10.1002/prot.23146. Epub 2011 Aug 30.
8
Protein electrostatics and pKa blind predictions; contribution from empirical predictions of internal ionizable residues.蛋白质静电作用和 pKa 盲目预测;来自内部可离子化残基的经验预测的贡献。
Proteins. 2011 Dec;79(12):3333-45. doi: 10.1002/prot.23113. Epub 2011 Aug 30.
9
Blind, one-eyed, or eagle-eyed? pKa calculations during blind predictions with staphylococcal nuclease.盲目、独眼还是鹰眼?利用枯草溶菌素核酸酶进行盲预测时的 pKa 计算。
Proteins. 2011 Dec;79(12):3299-305. doi: 10.1002/prot.23110. Epub 2011 Aug 23.
10
Predicting extreme pKa shifts in staphylococcal nuclease mutants with constant pH molecular dynamics.利用恒 pH 分子动力学预测葡萄球菌核酸酶突变体的极端 pKa 位移。
Proteins. 2011 Dec;79(12):3276-86. doi: 10.1002/prot.23195. Epub 2011 Oct 15.