Exploring the Dynamic Interplay of Deleterious Variants on the RAF1-RAP1A Binding in Cancer: Conformational Analysis, Binding Free Energy, and Essential Dynamics.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Abbas Khan, Syed Shujait Ali, Muhammad Ammar Zahid, Shahenda Salah Abdelsalam, Noorah Albekairi, Raed M Al-Zoubi, Mohanad Shkoor, Dong-Qing Wei, Abdelali Agouni
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Abstract

The RAF1-RAP1A interaction activates the MAPK/ERK pathway which is very crucial in the carcinogenesis process. This protein complex influences tumor formation, proliferation, and metastasis. Understanding aberrant interactions driven by clinical mutations is vital for targeted therapies. Hence, the current study focuses on the screening of clinically reported substitutions in the RAF1 and RAP1A genes using predictive algorithms integrated with all-atoms simulation, essential dynamics, and binding free energy methods. Survival analysis results revealed a strong association between RAF1 and RAP1A expression levels and diminished survival rates in cancer patients across different cancer types. Integrated machine learning algorithms showed that among the 134 mutations reported for these 2 proteins, only 13 and 35 were classified as deleterious mutations in RAF1 and RAP1P, respectively. Moreover, one mutation in RAF1 reported elevated levels of binding between RAF1 and RAP1P while in RAP1A, 7 mutations were reported to increase the binding affinity. The high-binding mutations, P34Q and V60F, were subjected to protein-protein coupling which confirmed the increase in the binding affinity. Wild-type and mutant RAF1-RAP1P bound complexes were subjected to molecular simulation investigation, revealing enhanced structural stability, increased compactness, and stabilized residue fluctuations of the mutant systems in contrast to the wild-type. In addition, hydrogen bonding analysis revealed a variation in the binding paradigm which further underscores the impact of these substitutions on the coupling of RAF1 and RAP1A. Principal component analysis (PCA) and free energy landscape (FEL) evaluation further determined dynamical variations in the wild-type and mutant complexes. Finally, the Gibbs free energy for each complex was estimated and found to be -71.94 ± 0.38 kcal/mol for the wild-type, -95.57 ± 0.37 kcal/mol for the V60F, and -85.76 ± 0.72 kcal/mol for P34Q complex. These findings confirm the effect of these variants on increasing the binding affinity of RAF1 to RAP1P. These mutations can therefore be targeted for cancer therapy to modulate the activity of the MAPK/ERK signaling pathway.

探索癌症中有害变异对 RAF1-RAP1A 结合的动态相互作用:构象分析、结合自由能和基本动力学。
RAF1-RAP1A 相互作用会激活 MAPK/ERK 通路,这在致癌过程中至关重要。这种蛋白复合物会影响肿瘤的形成、增殖和转移。了解临床突变驱动的异常相互作用对靶向治疗至关重要。因此,目前的研究重点是利用整合了全原子模拟、基本动力学和结合自由能方法的预测算法,筛选临床报道的 RAF1 和 RAP1A 基因中的替代基因。生存分析结果显示,RAF1 和 RAP1A 的表达水平与不同癌症类型的癌症患者生存率下降之间存在密切联系。综合机器学习算法显示,在报道的这两种蛋白的134个突变中,只有13个和35个分别被归类为RAF1和RAP1P的有害突变。此外,RAF1 中的一个突变报告了 RAF1 和 RAP1P 之间的结合水平升高,而 RAP1A 中的 7 个突变报告了结合亲和力的升高。对高结合突变 P34Q 和 V60F 进行了蛋白-蛋白偶联,证实了结合亲和力的增加。对野生型和突变型 RAF1-RAP1P 结合复合物进行了分子模拟研究,结果显示,与野生型相比,突变型系统的结构稳定性增强、紧密性提高、残基波动稳定。此外,氢键分析显示了结合范式的变化,这进一步强调了这些取代对 RAF1 和 RAP1A 耦合的影响。主成分分析(PCA)和自由能景观(FEL)评估进一步确定了野生型和突变型复合物的动态变化。最后,对每个复合物的吉布斯自由能进行了估算,发现野生型复合物的自由能为-71.94 ± 0.38 kcal/mol,V60F复合物的自由能为-95.57 ± 0.37 kcal/mol,P34Q复合物的自由能为-85.76 ± 0.72 kcal/mol。这些发现证实了这些变体对增加 RAF1 与 RAP1P 结合亲和力的作用。因此,这些变异可作为癌症治疗的靶点,以调节 MAPK/ERK 信号通路的活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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