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In-silico assessment of phytochemical derivatives generated using CHEESE webserver for advancement of druggable candidate in pancreatic cancer therapy

Crossref DOI link: https://doi.org/10.1007/s40203-025-00536-w

Published Online: 2026-01-14

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

Authors

Olowosoke, Christopher Busayo

Ishabiyi, Felix Oluwasegun

Bouribab, Amal

Munir, Aqsa

Awoyemi, Blessing

Nsofo, Winifred Njideka

Christabel, Amorha Chizoba

Joy, Jonah Ojochogwu

Chtita, Samir

Omoboyede, Victor

Chukwuemeka, Prosper Obed
Funding

Funding for this research was provided by:

Royal Melbourne Institute of Technology
License Information

Text and Data Mining valid from 2026-01-14

Version of Record valid from 2026-01-14
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Article History

Received: 25 September 2025

Accepted: 19 December 2025

First Online: 14 January 2026

Declarations

:

: The authors declare no competing interests.

: Not applicable.

: Not applicable.

: Not applicable.

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