Interpretable machine learning-driven QSAR modeling for coagulation factor X inhibitors: from molecular descriptors to predictive potency
Crossref DOI link: https://doi.org/10.1007/s10822-025-00758-2
Published Online: 2026-01-23
Published Print: 2026-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kaya, Ali Onur
Funding for this research was provided by:
Akdeniz University
Text and Data Mining valid from 2026-01-23
Version of Record valid from 2026-01-23
Article History
Received: 27 August 2025
Accepted: 26 December 2025
First Online: 23 January 2026
Declarations
:
: The authors declare no competing interests.