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Interpretable machine learning rationalizes carbonic anhydrase inhibition via conformal and counterfactual prediction

Published Online: 2026-02-11

Authors

Ghamsary, Masoumeh Shams

Rayka, Milad

Naghavi, S. Shahab
Funding

Funding for this research was provided by:

Iran National Science Foundation (4037187)
License Information

Text and Data Mining valid from 2026-02-11

Accepted Manuscript valid from 2026-02-11
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Article History

Received: 2 November 2025

Accepted: 6 February 2026

First Online: 11 February 2026

Declarations

:

: The authors declare no competing interests.

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