De novo generation and in silico screening of anti-diabetic peptide candidates via a deep learning–attention framework with physicochemical feature fusion
Crossref DOI link: https://doi.org/10.1038/s41598-026-39985-4
Published Online: 2026-02-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Asl, Zahra Rahmani
Rezaee, Khosro
Ansari, Mojtaba
Zare-Zardini, Hadi
Eslami, Hossein
Text and Data Mining valid from 2026-02-12
Version of Record valid from 2026-02-16
Article History
Received: 28 November 2025
Accepted: 9 February 2026
First Online: 12 February 2026
Declarations
:
: The authors declare no competing interests.