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Neurokinin/tachykinin receptors are classified as the G-protein coupled receptor superfamily. The neurokinin 2 receptor (NK2R) is widely expressed in different tissues. NK2R is associated with a range of biological events, such as inflammation, smooth muscle contraction, intestinal motor functions, and asthma. Despite these diverse activities, no approved drugs targeting NK2R have been developed yet. Our study focuses on finding potential inhibitors for NK2R using virtual screening, molecular docking, and ADME (absorption, distribution, metabolism, and excretion) approaches. We used a homology modeling approach and AlphaFold DB to obtain the three-dimensional structure of mouse and human NK2R proteins, respectively. The homology model of NK2R was predicted using MODELLER v10.3 and further refined and validated using the 3Drefine tool and RAMPAGE server, respectively. Molecular docking was performed using a library of 910 structurally similar molecules to four NK1R antagonists: aprepitant, casopitant, fosaprepitant, and rolapitant. Molecular docking revealed six small molecules that displayed high Chemscore fitness scores, and binding energies with desirable ligand-NK2R interactions. The evaluation of the in silico ADME profile, solubility, and permeability of the ligand molecules has revealed that the small molecules are potentially nontoxic and have the chance of exhibiting biological activity after oral administration. Further experimental studies (in vitro and in vivo assays) are required to evaluate the effectiveness of these inhibitors as therapeutic targets. © 2023 International Union of Biochemistry and Molecular Biology, Inc.

Citation

Arash Soltani, Seyed Isaac Hashemy. Homology modeling, virtual screening, molecular docking, and ADME approaches to identify a potent agent targeting NK2R protein. Biotechnology and applied biochemistry. 2024 Feb;71(1):213-222

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PMID: 37904319

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