The work focuses on deciphering the underlying mechanism behind insulin resistance through exposure to pesticides. The selected organochlorine and organophosphorus pesticides were analysed for their interactions with protein targets having a regulatory role in glucose metabolism and the insulin signalling pathway. Their binding affinities were understood based on the docking studies using AutoDock. Nine pesticides gave the minimum binding energy values ranging from -5.17 kcal/mol to -9.79 kcal/mol. An interaction protein network and pesticide network was generated. The merged network, an interaction network showing the binding affinities of pesticides with protein targets is also presented. An understanding of the molecular interactions between pesticides and various protein targets can help in designing new lead molecules to treat pesticide-driven insulin resistance.
|Number of pages||20|
|Journal||International Journal of Computational Biology and Drug Design|
|Publication status||Published - 2021|
All Science Journal Classification (ASJC) codes
- Drug Discovery
- Computer Science Applications