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Computer Aided Screening of PI3K Inhibitor Molecules from Database

机译:来自数据库的PI3K抑制剂分子的计算机辅助筛选

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Objective: To obtain potent PI3K_γ inhibitors precursor from SPECS database via the method of molecular docking. Methods: Active molecules can be obtained by screening the database. The protein targets were obtained by the SC-PDB database and the Pyrx software under Aotodock-vina was used to screening. Before screening, the reliability of the model was assessed by calculating the root mean square deviation RMSD and the enrichment factor. Cell experiments were carried out by the selected molecules. Results: 28 molecules were obtained by screening. Through the test of molecular cell level, an inhibitor molecule was obtained. The Smile format was c12n (ncclC (=O) N/N=C (/c1cc (NC) (=0) C). Conclusion: The Smile is a new effective PI3K γ inhibitor precursor molecule. This study provides reference for the development of PI3Kγ inhibitors.
机译:目的:通过分子对接的方法获得来自规格数据库的有效PI3K_γ抑制剂前体。方法:可以通过筛选数据库获得有源分子。通过SC-PDB数据库获得蛋白质靶标,并且通过AOTODOCK-VINA下的PYRX软件用于筛选。在筛选之前,通过计算均方根偏差RMSD和富集因子来评估模型的可靠性。通过所选分子进行细胞实验。结果:通过筛选获得28个分子。通过对分子细胞水平的测试,获得抑制剂分子。微笑格式是C12N(NCCLC(= O)N / N = C(/ C1cc(= 0)C)。结论:微笑是一种新的有效Pi3kγ抑制剂前体分子。本研究为发展提供了参考PI3Kγ抑制剂。

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