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Insights Into β3-Adrenoceptor Agonism Through Comprehensive in Silico Investigation by Jiasi Luan; Baichun Hu; Hanxun Wang; Haihan Liu; Shizhun Wang; Lu Chen; Weixia Li; Jian Wang; Maosheng Cheng is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Insights Into β3-Adrenoceptor Agonism Through Comprehensive in Silico Investigation about?
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.
Who reads Insights Into β3-Adrenoceptor Agonism Through Comprehensive in Silico Investigation?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Jiasi Luan; Baichun Hu; Hanxun Wang; Haihan Liu; Shizhun Wang; Lu Chen; Weixia Li; Jian Wang; Maosheng Cheng
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)