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Molecular interaction and MD-simulations: investigation of Sizofiran as a promising anti-cancer agent targeting eIF4E in colorectal cancer

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Abstract

CRC has a major global health impact due to high mortality rates. CRC shows high expression of eukaryotic translation initiation factor (eIF4E) protein, the rapid development of lung, bladder, colon, prostate, breast, head, and neck cancer is attributed to the dysregulation of eIF4E making an important target for treatment. Targeting eIF4E-mediated translation is a promising anti-cancer strategy. Many organic compounds that inhibit eIF4E are being studied clinically. The compound Sizofiran has emerged as a promising eIF4E inhibitor candidate, but its exact mechanism of action is unclear. In an effort to close this discrepancy by clarifying the mechanism of the interactions between phytochemical substances and eIF4E, molecular docking and dynamics studies were conducted. Molecular docking studies found Sizofiran (− 12.513 kcal/mol) has the most affinity eIF4E binding energy out of 93 phytochemicals, 5 current drugs, and 4 known inhibitors. This positions it as a top eIF4E inhibitor candidate. An alignment of eIF4E protein sequences from multiple pathogens revealed that the glutamate103 interacting residues are evolutionarily conserved across the different eIF4E proteins. Further insights from 100 ns of MD simulations supported Sizofiran having superior stability and eIF4E inhibition compared to reference compounds. Designed Sizofiran-related compounds showed better activity than the current drugs such as Camptosar, Sorafenib, Regorafenib, Doxorubicin, and Kenpaullone, indicating strong potential to suppress CRC progression by targeting eIF4E. This research aims to significantly aid development of improved eIF4E-targeting drugs for cancer treatment.

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Abbreviations

CRC:

Colorectal cancer

eIF4E:

Eukaryotic translation initiation factor

MDS:

Molecular dynamics simulation

RMSD:

Root mean square deviation

RMSF:

Root mean square fluctuation

Rg:

Radius of gyration

SASA:

Solvent accessible surface area

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Acknowledgements

Authors are thankful to DST-FIST, for providing the necessary infrastructure.

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Contributions

Gopinath: Structurebased virtual screening, Molecular docking, Manuscript preparation. Nandhini: Molecular Dynamics and Editing. Jeyakumar: Idea generation, Review & Editing, and Overall supervision.

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Correspondence to Jeyakumar Natarajan.

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The authors declare no competing interests.

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Samykannu, G., Mariyappan, N. & Natarajan, J. Molecular interaction and MD-simulations: investigation of Sizofiran as a promising anti-cancer agent targeting eIF4E in colorectal cancer. In Silico Pharmacol. 12, 33 (2024). https://doi.org/10.1007/s40203-024-00206-3

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  • DOI: https://doi.org/10.1007/s40203-024-00206-3

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