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特定于内在无序蛋白的力场ff14IDPSFF改善了内在无序蛋白的构象采样。

The IDP-Specific Force Field ff14IDPSFF Improves the Conformer Sampling of Intrinsically Disordered Proteins.

作者信息

Song Dong, Luo Ray, Chen Hai-Feng

机构信息

State Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biostatistics, National Experimental Teaching Center for Life Sciences and Biotechnology, College of Life Sciences and Biotechnology, Shanghai Jiaotong University , Shanghai 200240, China.

Departments of Molecular Biology and Biochemistry, Chemical Engineering and Materials Science, and Biomedical Engineering, University of California , Irvine, California 92697-3900, United States.

出版信息

J Chem Inf Model. 2017 May 22;57(5):1166-1178. doi: 10.1021/acs.jcim.7b00135. Epub 2017 May 4.

Abstract

Intrinsically disordered proteins (IDPs) or intrinsically disordered regions do not have a fixed tertiary structure but play key roles in signal regulation, molecule recognition, and drug targeting. However, it is difficult to study the structure and function of IDPs by traditional experimental methods because of their diverse conformations. Limitations of current generic protein force fields and solvent models were reported in the previous simulations of IDPs. We have also explored overcoming these limitations by developing the ff99IDPs and ff14IDPs force fields to correct the dihedral distribution for eight disorder-promoting residues often observed in IDPs and found encouraging improvements. Here we extend our correction of backbone dihedral terms to all 20 naturally occurring amino acids in the IDP-specific force field ff14IDPSFF to further improve the quality of the modeling of IDPs. Extensive tests of seven IDPs and 14 unstructured short peptides show that the simulated Cα chemical shifts obtained with the ff14IDPSFF force field are in quantitative agreement with those from NMR experiments and are more accurate than those obtained with the base generic force field and also our previous ff14IDPs that only corrects the eight disorder-promoting amino acids. The influence of the solvent model was also investigated and found to be less important. Finally, our explicit-solvent MD simulations further show that ff14IDPSFF can still be used to model structural and dynamical properties of two tested folded proteins, with a slightly better agreement in the loop regions for both structural and dynamical properties. These findings confirm that the newly developed IDP-specific force field ff14IDPSFF can improve the conformer sampling of intrinsically disordered proteins.

摘要

内在无序蛋白质(IDP)或内在无序区域没有固定的三级结构,但在信号调节、分子识别和药物靶向中发挥关键作用。然而,由于其构象多样,用传统实验方法研究IDP的结构和功能很困难。在之前对IDP的模拟中报道了当前通用蛋白质力场和溶剂模型的局限性。我们还通过开发ff99IDPs和ff14IDPs力场来纠正IDP中经常观察到的八个促进无序残基的二面角分布,探索克服这些局限性,并取得了令人鼓舞的改进。在这里,我们将主链二面角项的校正扩展到IDP特异性力场ff14IDPSFF中的所有20种天然氨基酸,以进一步提高IDP建模的质量。对七种IDP和14种无结构短肽的广泛测试表明,使用ff14IDPSFF力场获得的模拟Cα化学位移与NMR实验得到的结果在定量上一致,并且比使用基础通用力场以及我们之前仅校正八个促进无序氨基酸的ff14IDPs得到的结果更准确。还研究了溶剂模型的影响,发现其重要性较低。最后,我们的显式溶剂分子动力学模拟进一步表明,ff14IDPSFF仍然可以用于模拟两种测试折叠蛋白的结构和动力学性质,在结构和动力学性质的环区域都有稍好的一致性。这些发现证实,新开发的IDP特异性力场ff14IDPSFF可以改善内在无序蛋白质的构象采样。

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