Sha_2025_J.Vector.Borne.Dis_62_107

BACKGROUND OBJECTIVES: Malaria remains a significant public health challenge globally, with an estimated 249 million cases reported across 85 endemic countries and regions in 2022, reflecting an increase of 5 million cases from the previous year. Anopheles mosquitoes are the primary vectors responsible for transmitting malaria parasites to humans, with Anopheles stephensi and An. culicifacies being the major vectors in urban and rural areas of India, respectively. This study aimed to understand the molecular interactions between the two commonly used insecticides, temephos (a larvicide) and malathion (an adulticide), with the acetylcholinesterase (AChE) enzyme of these mosquito species through in silico molecular docking. METHODS: The three-dimensional structures of AChE1 from An. stephensi and An. culicifacies were retrieved from the AlphaFold database, and ligand structures of temephos and malathion were obtained from the PubChem database. Molecular docking was performed using AutoDockVina and AutoDockTools to evaluate the binding affinities and interactions between the insecticides and the target AChE enzymes. RESULTS: The docking results revealed stable binding energies ranging from -6.1kcal/mol to -6.5 kcal/mol for the interaction between temephos and An. stephensi-AChE1, and -4.8kcal/mol to -4.9 kcal/mol for the interaction between malathion and An. culicifacies-AChE1. Specific amino acid residue such as Lys 426, His 462, Glu 443, Trp 436 were found to be present between the binding site of these insecticides and respective AChE enzymes. INTERPRETATION CONCLUSION: These findings provide valuable insights into the potential effectiveness of temephos and malathion as larvicide and adulticide against these major malaria vectors. By studying the molecular mechanisms underlying the inhibition of AChE by these insecticides certain new synthetic insecticides can be developed having similar modes of action which could be effective in vector control. Further research is warranted to experimentally validate the docking predictions, optimize the chemical structures, assess potential ecological impacts, and monitor insecticide resistance patterns for successful implementation of integrated vector management programs.