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Computer Aided Screening of PI3K Inhibitor Molecules from Database

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Frontier Computing (FC 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 551))

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Abstract

Objective: To obtain potent PI3Kγ 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 (ncc1C (=O) N/N=C (/c1cc (NC) (=O) C). Conclusion: The Smile is a new effective PI3K γ inhibitor precursor molecule. This study provides reference for the development of PI3Kγ inhibitors.

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Acknowledgements

The authors thank SPECS company for providing the compounds for testing. Competing Interests. We have no competing interests.

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Correspondence to Shuangkou Chen .

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Luo, B., Chen, S., Guo, Y., Ren, Y. (2020). Computer Aided Screening of PI3K Inhibitor Molecules from Database. In: Hung, J., Yen, N., Chang, JW. (eds) Frontier Computing. FC 2019. Lecture Notes in Electrical Engineering, vol 551. Springer, Singapore. https://doi.org/10.1007/978-981-15-3250-4_95

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