AutoPeptideML: a study on how to build more trustworthy peptide bioactivity predictors
Published in Bioinformatics, 2024
The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above “citation” field will automatically be included below this section in a smaller font.
Recommended citation: Fernández-Díaz R, Cossio-Pérez R, Agoni C, Lam HT, Lopez V, Shields DC. AutoPeptideML: a study on how to build more trustworthy peptide bioactivity predictors. Bioinformatics. 2024 Sep;40(9):btae555.
Download Paper