Ligand Based Virtual Screening Testing and Analysis for Plasmodium Falciparum

Malaria, caused by the parasite Plasmodium falciparum, continues to pose a significant global health challenge, with drug resistance and limited treatment options exacerbating the problem. Ligand-Based Virtual Screening (LBVS) has emerged as a promising computational tool for identifying potential drug candidates. This research focuses on the application of LBVS to target essential proteins within Plasmodium falciparum and identify small molecules with inhibitory potential. A diverse dataset of ligands and advanced computational algorithms were employed to predict binding affinities and screen compounds for potential antimalarial activity. LBVS is a computational method used to identify potential drug candidates by screening large databases of molecules for those that have a high similarity to known active molecules. This is done by calculating the shape and chemical properties of the molecules and comparing them to the known active molecules. Malaria is a mosquito-borne disease caused by the parasite Plasmodium falciparum. It is a major public health problem, especially in tropical and subtropical regions. LBVS can be used to accelerate the drug discovery process by identifying potential drug candidates more quickly and efficiently.