利用炼金术自由能计算进行多肽药物设计:胃泌素受体激动剂的应用与验证。

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
Qin Zeng, Guangpeng Meng, Bingyu Zhao, Haodian Lin, Yuqing Guan, Xiaobin Qin, Yu Yuan*, Yuanbo Li* and Qiantao Wang*, 
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引用次数: 0

摘要

通过最近的大规模应用和验证,使用炼金术自由能方法计算的相对结合自由能(RBFE)已被证明是探究小分子候选药物结合的准确测量方法。另一方面,考虑到多肽的灵活性,人们对能否在此类计算的典型时间尺度内实现足够的取样以及多肽药物能否达到类似的准确度水平非常感兴趣。然而,对蛋白质-肽系统进行此类计算的系统评估报道较少。大多数关于多肽的研究都局限于有限的数据点或缺乏实验支持。为了证明炼金术自由能方法在典型的实际药物发现项目中对蛋白肽系统的适用性,我们报告了热力学积分(TI)方法在胃泌素受体及其多肽激动剂的 RBFE 计算中的应用。在计算的同时,我们还报告了relamorelin和17种新多肽衍生物的合成和体外EC50活性。针对 TI 模拟中的多肽,提出了一个确定数据收集时间的成本效益标准。三次 TI 重复的平均绝对误差为 0.98 kcal/mol,与体外 EC50 活性得出的实验自由能的皮尔逊相关系数 (R) 为 0.77,这表明所提议的方法具有良好的可重复性,其一致性略好于 20 ns 以下任意时间框架得出的结果。虽然这项研究受限于一个目标和一个推导出的结合姿势,但我们希望它能为蛋白质-多肽系统的炼金自由能计算增添一些新的见解,为多肽药物的开发提供理论帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Peptide Drug Design Using Alchemical Free Energy Calculation: An Application and Validation on Agonists of Ghrelin Receptor

Peptide Drug Design Using Alchemical Free Energy Calculation: An Application and Validation on Agonists of Ghrelin Receptor

Peptide Drug Design Using Alchemical Free Energy Calculation: An Application and Validation on Agonists of Ghrelin Receptor

With recent large-scale applications and validations, the relative binding free energy (RBFE) calculated using alchemical free energy methods has been proven to be an accurate measure to probe the binding of small-molecule drug candidates. On the other hand, given the flexibility of peptides, it is of great interest to find out whether sufficient sampling could be achieved within the typical time scale of such calculation, and a similar level of accuracy could be reached for peptide drugs. However, the systematic evaluation of such calculations on protein–peptide systems has been less reported. Most reported studies of peptides were restricted to a limited number of data points or lacking experimental support. To demonstrate the applicability of the alchemical free energy method for protein–peptide systems in a typical real-world drug discovery project, we report an application of the thermodynamic integration (TI) method to the RBFE calculation of ghrelin receptor and its peptide agonists. Along with the calculation, the synthesis and in vitro EC50 activity of relamorelin and 17 new peptide derivatives were also reported. A cost-effective criterion to determine the data collection time was proposed for peptides in the TI simulation. The average of three TI repeats yielded a mean absolute error of 0.98 kcal/mol and Pearson’s correlation coefficient (R) of 0.77 against the experimental free energy derived from the in vitro EC50 activity, showing good repeatability of the proposed method and a slightly better agreement than the results obtained from the arbitrary time frames up to 20 ns. Although it is limited by having one target and a deduced binding pose, we hope that this study can add some insights into alchemical free energy calculation of protein–peptide systems, providing theoretical assistance to the development of peptide drugs.

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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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