Targeting neurodegeneration: three machine learning methods for G9a inhibitors discovery using PubChem and scikit-learn
Crossref DOI link: https://doi.org/10.1007/s10822-025-00642-z
Published Online: 2025-08-06
Published Print: 2025-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ivanova, Mariya L.
Russo, Nicola
Nikolic, Konstantin
Text and Data Mining valid from 2025-08-06
Version of Record valid from 2025-08-06
Article History
Received: 22 March 2025
Accepted: 19 July 2025
First Online: 6 August 2025
Declarations
:
: The authors declare no conflict of interest.