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Enhancing PI3Kγ inhibitor discovery: a machine learning-based virtual screening approach integrating pharmacophores, docking, and molecular descriptors

Crossref DOI link: https://doi.org/10.1007/s11030-025-11216-4

Published Online: 2025-05-13

Published Print: 2025-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Jia, Lei

Xu, Lei

Cai, Yanfei

Chen, Yun

Jin, Jian

Yu, Li

Zhu, Jingyu https://orcid.org/0000-0002-9553-1765
Funding

Funding for this research was provided by:

Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX23_2469)

Scientific Research Foundation of Changzhou Vocational Institute of Engineering (11130900122005)
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Text and Data Mining valid from 2025-05-13

Version of Record valid from 2025-05-13
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Article History

Received: 3 January 2025

Accepted: 3 May 2025

First Online: 13 May 2025

Declarations

:

: The authors declare no competing interests.

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