Exploring the Dynamic Interplay of Deleterious Variants on the <scp>RAF1</scp> – <scp>RAP1A</scp> Binding in Cancer: Conformational Analysis, Binding Free Energy, and Essential Dynamics

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.

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Journal
Proteins Structure Function and Bioinformatics
Published
2024-11-05
DOI
https://doi.org/10.1002/prot.26759
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.36

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article

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

Shahenda Salah Abdelsalam, Muhammad Zahid, Dong‐Qing Wei, Syed Shujait Ali et al.
1 citations
Proteins Structure Function and Bioinformatics
Computational Drug Discovery Methods
0.36
article

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

Shahenda Salah Abdelsalam, Muhammad Zahid, Dong‐Qing Wei, Syed Shujait Ali, Mohanad Shkoor, Abdelali Agouni, Raed M. Al‐Zoubi, Abbas Khan, Noorah Albekairi
article en
1 citations

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.

Proteins Structure Function and BioinformaticsVol. 93(3)
Jordan University of Science and Technology (JO), Shanghai Jiao Tong University (CN), King Saud University (SA), University of Swat (PK), Hamad Medical Corporation (QA), Qatar University (QA)
Hamad Medical Corporation, Fonds National de la Recherche Luxembourg, King Saud University, Qatar University, Qatar National Research Fund, Qatar National Library, Medical Research Council
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Openalex Percentile: Top 34%
Computational Drug Discovery Methods
0.36
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