%0 Journal Article
%1 ertelt2025selfsupervised
%A Ertelt, Moritz
%A Moretti, Rocco
%A Meiler, Jens
%A Schoeder, Clara T.
%D 2025
%I American Association for the Advancement of Science
%J Science Advances
%K machine_learning protein_design topic_lifescience xack yaff
%N 7
%P eadr7338
%R 10.1126/sciadv.adr7338
%T Self-supervised machine learning methods for protein design improve sampling, but not the identification of high-fitness variants
%V 11
@article{ertelt2025selfsupervised,
added-at = {2024-11-22T16:40:08.000+0100},
author = {Ertelt, Moritz and Moretti, Rocco and Meiler, Jens and Schoeder, Clara T.},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/27d23eb52b20e8c39889cc6b26c4b68a7/scadsfct},
doi = {10.1126/sciadv.adr7338},
interhash = {936d2c7b4e7364645a1e9256cc0e718a},
intrahash = {7d23eb52b20e8c39889cc6b26c4b68a7},
journal = {Science Advances},
keywords = {machine_learning protein_design topic_lifescience xack yaff},
month = jun,
number = 7,
pages = {eadr7338},
publisher = {American Association for the Advancement of Science},
timestamp = {2025-07-29T10:29:54.000+0200},
title = {Self-supervised machine learning methods for protein design improve sampling, but not the identification of high-fitness variants},
volume = 11,
year = 2025
}