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Tumor Discovery                                                   Bioinformatics insights into CCL2 mutations



            analysis revealed distinct fluctuation patterns in the mutant   Computational methods are essential in providing
            protein compared to the native structure, indicating that   the  foundation  for  genetic  research  and  enabling  the
            the mutation significantly impacted protein stability and   understanding of the molecular basis of diseases.
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            dynamics (Figure 4B). The analysis showed a substantial   Moreover, computational methods play a crucial role
            increase in residue-level variation in the mutant protein,   in identifying disease-causing mutations and exploring
            suggesting that the mutation caused notable changes in the   potential therapeutic strategies. 102,103  These methods also
            protein’s conformation and increased its flexibility.  aid in the clinical assessment of genetic variants, enabling
              Analysis of the intramolecular hydrogen bonds in the   more informed and effective treatment decisions.
            CCL2 protein revealed a notable decrease in the number of   5. Conclusion
            hydrogen bonds formed in the mutant protein compared to
            the native structure during the simulation. This reduction   This  investigation  into  the oncogenic  missense  mutations
            suggests an increase in the flexibility of the mutant   of CCL2, particularly the C59G mutation, revealed that this
            protein and significant structural differences between the   specific mutation may impair CCL2 activity, potentially
            two forms (Figure 5A and B). To elucidate the structural   lower the risk of cancer, and enhance the immune response.
            dynamics of the native and mutant CCL2 proteins, an   Through  bioinformatics  and  computational  analyses,  we
            ED analysis was performed. This approach enabled the   found that the C59G mutation significantly affects the
            identification of correlated movements within both   stability  and  function  of  CCL2,  potentially  hindering  its
            protein structures, providing insights into the molecular   interaction with the CCR2 receptor. This mutation, one of
            mechanisms underlying their functional differences.   the 83 CCL2 missense mutations, is associated with disease
            Examination of the sum of the eigenvalues revealed that   causation  and has implications for cancer  development.
            the primary fluctuations were confined to the first two   MD simulations and structural analyses confirmed that
            eigenvectors for both the native and mutant proteins. This   these mutations induce substantial conformational changes,
            finding suggests that these PCs capture the main motions   decrease stability, and alter the ED. Despite the increased
            within the system (Figure 5C and D).               binding affinities of mutant CCL2 to CCR2, the C59G
                                                               mutation markedly affects the protein’s stability and function.
              Analysis of the Rg plot indicated that the amino
            acid substitution at position G59 had a destabilizing   This study emphasizes the importance of understanding the
                                                               molecular characteristics of CCL2 mutations, particularly
            effect on the protein’s structure, which led to reduced
            protein compactness (Figure 6A and B). This finding was   C59G, in influencing disease processes, such as that of
            supported by SASA analysis, which revealed higher SASA   colorectal cancer, and highlights the potential implications
            values for the mutant protein, indicating a substantial   for immune responses and cancer regulation.
            structural transition (Figure  6C  and  D). The observed   Acknowledgments
            conformational changes strongly suggest that the amino
            acid substitution in the mutant protein significantly altered   None.
            its overall structure. Furthermore, the mutation resulted
            in a less stable, more flexible, and less compact structure   Funding
            compared  to  the  native  protein.  Our  results  collectively   This work was supported by National Natural Science
            indicate that  the  mutation  had  a profound  impact on   Foundation of China (32270438, 32170498, 31970388), the
            protein structure and stability.                   National Key Research and Development Program of China
              Previous studies have shown the synergistic value   (2021YFF0702000, 2018YFD0900602), 1.3+.5 project for
            of combining  in silico approaches and wet laboratory   disciplines of excellence, West China Hospital, Sichuan
            experiments to gain a comprehensive understanding   University (ZYJC21050), the Science and Technology
            of biological processes. 97,98  The combination of   Department  of  Sichuan  Province  (2022YFH0116),  the
            computational methods and experimental techniques   Priority Academic Program Development of Jiangsu
            has emerged as a potent strategy for predicting and   Higher  Education  Institutions  (PAPD),  the  National
            confirming hypotheses across various biological systems.    Clinical Research Center for Geriatrics, West China
                                                         98
            Integrating computational mutation predictions with   Hospital, and Sichuan University (Z2023JC003).
            MD simulation analysis has been pivotal in pinpointing   Conflict of interest
            disease-causing mutations.  This approach has allowed
                                  99
            for the identification of the most harmful mutations from   Mohammad Amjad Kamal is the Guest Editor of this
            a large pool of mutations, offering valuable insights into   special issue, but was not in any way involved in the
            the molecular mechanisms underlying various diseases.    editorial and peer-review process conducted for this paper,
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            Volume 3 Issue 4 (2024)                         21                                doi: 10.36922/td.3891
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