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A dynamic scapping workflow for RTK domains: computational modeling of natural products as dual modulators of EGFR and VEGFR signaling in breast cancer

Crossref DOI link: https://doi.org/10.1007/s11030-025-11263-x

Published Online: 2025-07-10

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

Authors

Obakachi, Vincent A. https://orcid.org/0000-0002-6151-7009
Govender, Krishna K. https://orcid.org/0000-0002-9058-1675
Govender, Penny P. https://orcid.org/0000-0002-3011-6675
Funding

Funding for this research was provided by:

University of Johannesburg (UJ) through the University Research Council (URC) funding for postdoctoral research fellowships

University of Johannesburg
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Text and Data Mining valid from 2025-07-10

Version of Record valid from 2025-07-10
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Article History

Received: 16 May 2025

Accepted: 5 June 2025

First Online: 10 July 2025

Declarations

:

: The authors declare no competing interests.

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