%0 Journal Article %1 ertelt2024selfsupervised %A Ertelt, Moritz %A Moretti, Rocco %A Meiler, Jens %A Schoeder, Clara T. %D 2024 %I Cold Spring Harbor Laboratory %K topic_lifescience imported %R 10.1101/2024.06.20.599843 %T Self-supervised machine learning methods for protein design improve sampling, but not the identification of high-fitness variants %U http://dx.doi.org/10.1101/2024.06.20.599843

@article{ertelt2024selfsupervised, 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/2265ad3cc99ebeccb12eae05e02777c68/scadsfct}, doi = {10.1101/2024.06.20.599843}, interhash = {fd427658d6c5afe2c12634a5b5477251}, intrahash = {265ad3cc99ebeccb12eae05e02777c68}, keywords = {topic_lifescience imported}, month = jun, publisher = {Cold Spring Harbor Laboratory}, timestamp = {2024-11-28T17:41:25.000+0100}, title = {Self-supervised machine learning methods for protein design improve sampling, but not the identification of high-fitness variants}, url = {http://dx.doi.org/10.1101/2024.06.20.599843}, year = 2024 }