Identification of potent inhibitors against chorismate synthase of Toxoplasma gondii using molecular dynamics simulations

Toxoplasmosis, caused by Toxoplasma gondii, affects about 20-30% of the human population every year globally. The emergence of severe side effects of current chemotherapeutics and drug-resistant strains emphasize upon finding new therapeutics to treat toxoplasmosis. Chorismate synthase (CS) is a vital enzyme of shikimate pathway and responsible for formation of chorismate, which acts as a precursor for production of several aromatic compounds important for virulence and survival in many bacteria and protozoans. In this study, comparative modeling was employed to predict the three-dimensional structure of T. gondii chorismate synthase (TgCS) followed by its refinement and validation using various computational tools. The modeled structure of TgCS monomer shows all the conserved features of CS, particularly the beta-alpha-beta sandwich fold. Molecular docking studies has displayed that 5-enolpyruvylshikimate-3-phosphate (EPSP, substrate) and flavin mono nucleotide (FMN, cofactor) bind into the active site of TgCS and all the structures (apo, binary, and ternary) were observed to be stable during molecular dynamics (MD) simulation. Subsequently, structure-based virtual screening using TgCS has inferred two of each benzofuran and EPSP analogs as the best hits on the basis of RCS, molecular interactions, ADME properties, and MD simulations. The MD data of resultant protein-ligand complex structures was subjected to calculate the binding energy through MMPBSA method, which highlights that the EPSP analogs have higher binding affinity for the substrate-binding site of TgCS in comparison to benzofuran derivatives as well as substrate. Altogether, our study could pave the way for designing and development of next generation chemotherapeutic molecules against toxoplasmosis.

Automated summary

This study predicted the three-dimensional structure of Toxoplasma gondii chorismate synthase (TgCS) using comparative modeling and investigated its binding mechanism through molecular docking and molecular dynamics simulations. Structure-based virtual screening identified EPSP analogs with higher binding affinity, providing a basis for the design and development of next generation chemotherapeutic molecules against toxoplasmosis.