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Combined machine learning models, docking analysis, ADMET studies and molecular dynamics simulations for the design of novel FAK inhibitors against glioblastoma

Crossref DOI link: https://doi.org/10.1186/s13065-024-01316-x

Published Online: 2024-10-18

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

Authors

Zhao, Yihuan

He, Xiaoyu

Wan, Qianwen
Funding

Funding for this research was provided by:

Science and Technology Plan Project of Guizhou (No. Qian Science Platform Talent [2020]-041)
License Information

Text and Data Mining valid from 2024-10-18

Version of Record valid from 2024-10-18
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Article History

Received: 24 May 2024

Accepted: 3 October 2024

First Online: 18 October 2024

Declarations

:

: This article does not contain any studies with human participants or animals performed by any of the authors. We have not performed work on human/animal, therefore, there is no need of informed consent.

: Not applicable.

: The authors declare no competing interests.

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