Exploring the Dynamic Interplay of Deleterious Variants on the RAF1–RAP1A Binding in Cancer: Conformational Analysis, Binding Free Energy, and Essential Dynamics
المؤلف | Khan, Abbas |
المؤلف | Ali, Syed Shujait |
المؤلف | Zahid, Muhammad Ammar |
المؤلف | Abdelsalam, Shahenda Salah |
المؤلف | Albekairi, Noorah |
المؤلف | Al-Zoubi, Raed M |
المؤلف | Shkoor, Mohanad |
المؤلف | Wei, Dong Qing |
المؤلف | Agouni, Abdelali |
تاريخ الإتاحة | 2024-11-19T08:19:14Z |
تاريخ النشر | 2024-01-01 |
اسم المنشور | Proteins: Structure, Function and Bioinformatics |
المعرّف | http://dx.doi.org/10.1002/prot.26759 |
الاقتباس | Khan, A., Ali, S., Zahid, M., Abdelsalam, S., Albekairi, N., Al-Zoubi, R., Shkoor, M., Wei, D.-Q. and Agouni, A. (2024), Exploring the Dynamic Interplay of Deleterious Variants on the RAF1–RAP1A Binding in Cancer: Conformational Analysis, Binding Free Energy, and Essential Dynamics. Proteins. https://doi.org/10.1002/prot.26759 |
الرقم المعياري الدولي للكتاب | 08873585 |
الملخص | 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. |
راعي المشروع | This study was supported by Qatar National Research Fund (Grant ARG01-0601-230451); Hamad Medical Corporation (Grant MRC-01-22-414); Qatar University (Grant QUPD-CPH-23/24-592); and Researchers Supporting Project (Grant RSPD2024R1035) from King Saud University. Open Access funding provided by the Qatar National Library. |
اللغة | en |
الناشر | Wiley |
الموضوع | binding free energy cancer docking MAPK mutations RAF1 simulation |
النوع | Article |
ESSN | 1097-0134 |
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