Insights into β3-adrenoceptor agonism through comprehensive in silico investigation

Abstract

Research onβ₃-AR, the new member of the adrenoceptor family, is in its infancy and few β₃-AR agonists have been approved for marketing to date. Meanwhile, β₃-AR exhibited obvious species differences in pharmacological properties, such as between human and animals, however, the 3D structure of human β₃-AR has not been published, which makes it difficult to understand the interaction between human β₃-AR and its agonists. Herein, binding patterns of β₃-AR agonists are explored starting from the Alphafold predicted structural model, and the obtained model was optimized by using molecular dynamics simulations. Moreover, the human β₃-AR and its agonists were subjected to molecular docking, dynamics simulations, binding free energy calculations and pharmacophore modeling to elucidate the characteristics of human β₃-AR activity pockets and agonist conformational relationships, including a hydrophobic group, a positively charged group as well as two hydrogen-bonded donors, which provide comprehensive insights into the interactions between human β₃-AR and its agonists.

Keywords: Molecular dynamics simultaiton; Pharmacophore modeling; Protein structure predictiond; β(3)-adrenergic receptor.