Extending the PARCH Scale: Assessing Hydropathy of Proteins across Multiple Water Models.

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2025-03-24 Epub Date: 2025-03-04 DOI:10.1021/acs.jcim.4c02415
Xuyang Qin, Jingjing Ji, Somya Chakraborty, Shikha Nangia
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Abstract

Quantitative assessment of amino acid hydropathy can be done using the protocol for assigning a residue's character on a hydropathy (PARCH) scale, which assigns values from 0 to 10, with lower values indicating greater hydrophobicity. The merit of the PARCH scale lies in its ability to integrate both the nanoscale topographical features and the chemical properties of amino acid residues when determining hydropathy. In its initial application, we employed the TIP3P water model, optimized for CHARMM36m proteins, to simulate the water behavior around the protein surface. Due to the growing use of the PARCH scale, we have extended its application to three additional all-atom water models: TIP4P, TIP4P-Ew, and TIP5P. Our findings reveal that although PARCH values vary across these water models, the relative hydropathy trends remain consistent. All models successfully distinguished hydrophobic from hydrophilic regions in nanoscale topography, although charged residues showed greater sensitivity to model choice, leading to more significant value variances. Additionally, we evaluated the influence of two other parameters─the force constant used to constrain proteins and the time step of the evaporation process─on the PARCH scale. Overall, the PARCH scale has demonstrated robustness in capturing protein hydropathy across various water models, suggesting its potential applicability with other protein-water force field combinations and even molecular systems beyond proteins.

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扩展PARCH量表:评估多种水模型中蛋白质的亲水性。
氨基酸亲水性的定量评估可以使用在亲水性(PARCH)量表上分配残基特征的方案来完成,该方案分配的值从0到10,值越低表明亲水性越好。PARCH尺度的优点在于它能够在确定亲水性时将纳米尺度的地形特征和氨基酸残基的化学性质结合起来。在最初的应用中,我们采用了针对CHARMM36m蛋白进行优化的TIP3P水模型来模拟蛋白质表面周围的水行为。由于PARCH尺度的应用越来越广泛,我们将其应用范围扩展到另外三种全原子水模型:TIP4P、TIP4P- ew和TIP5P。我们的研究结果表明,尽管这些水模式的PARCH值有所不同,但相对亲水趋势保持一致。所有模型都成功地区分了纳米尺度形貌中的疏水性和亲水性区域,尽管带电残基对模型选择的敏感性更高,导致更显著的值方差。此外,我们还评估了另外两个参数──用于约束蛋白质的力常数和蒸发过程的时间步长──对PARCH尺度的影响。总的来说,PARCH量表在捕获各种水模型中的蛋白质亲水性方面表现出了稳健性,这表明它可能适用于其他蛋白质-水力场组合,甚至是蛋白质以外的分子系统。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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