New Horizons in Antimalarial Discovery: 7¿Chloroquinoline Insights: Novel Docking Insights Driving Computational Strategies Discovery

This thesis investigates the potential of a newly synthesized 7¿chloroquinoline derivative as a candidate for antimalarial drug discovery through advanced docking studies. Using computational modeling and in silico techniques, the compound's binding affinity and molecular interactions with key Plasmodium falciparum targets were analyzed to assess its therapeutic relevance. The research highlights structural features that contribute to enhanced activity, explores pharmacophore mapping, and evaluates drug¿likeness parameters to ensure compatibility with medicinal chemistry standards. By integrating bioinformatics tools with rational drug design strategies, the study provides insights into overcoming resistance mechanisms in malaria parasites. The findings suggest that the synthesized derivative demonstrates promising lead¿like properties, offering a foundation for further experimental validation and optimization. This work contributes to the broader effort of developing next¿generation antimalarial agents that are effective, sustainable, and capable of addressing global health challenges posed by resistant strains.