The present study explores a computational strategy π»π§ͺ to investigate bioactive compounds derived from two Congolese medicinal plants πΏπ¨π© with potential antisickling activity. Molecular docking techniques were employed to predict binding affinities and interaction patterns with sickle cell–related protein targets π§¬π©Έ.
Molecular dynamics simulations ππ§ͺ were further conducted to assess the stability, flexibility, and conformational behavior of the docked complexes over time. Key parameters such as RMSD, RMSF, and hydrogen bonding ππ provided insights into the dynamic stability of the ligand–protein interactions.
Overall, the integrated in silico approach ππ highlights promising phytochemicals with strong binding and stable interactions, supporting their potential as antisickling agents. These findings offer a scientific basis for future experimental validation and drug development against sickle cell disease π©Έπ¬.
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