Modeling aspects of the language of life through transfer-learning protein sequences. - Michael Heinzinger; Ahmed Elnaggar; Yu Wang; Christian Dallago; Dmitrii Nechaev; Florian Matthes; Burkhard Rost (BMC Bioinform., 2019)

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing. - Ahmed Elnaggar; Michael Heinzinger; Christian Dallago; Ghalia Rehawi; Yu Wang; Llion Jones; Tom Gibbs; Tamas Feher; Christoph Angerer; Martin Steinegger; Debsindhu Bhowmik; Burkhard Rost (CoRR, 2020)

Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteins. - Jan Zaucha; Michael Heinzinger; A. Kulandaisamy; Evans Kataka; Óscar Llorian Salvádor; Petr Popov; Burkhard Rost; M. Michael Gromiha; Boris S. Zhorov; Dmitrij Frishman (Briefings Bioinform., 2021)

Clustering FunFams using sequence embeddings improves EC purity. - Maria Littmann; Nicola Bordin; Michael Heinzinger; Konstantin Schütze; Christian Dallago; Christine A. Orengo; Burkhard Rost (Bioinform., 2021)

PredictProtein - Predicting Protein Structure and Function for 29 Years. - Michael Bernhofer; Christian Dallago; Timothy Karl; Venkata P. Satagopam; Michael Heinzinger; Maria Littmann; Tobias Olenyi; Jiajun Qiu; Konstantin Schütze; Guy Yachdav; Haim Ashkenazy; Nir Ben-Tal; et al. (Nucleic Acids Res., 2021)

SETH predicts nuances of residue disorder from protein embeddings. - Dagmar Ilzhöfer; Michael Heinzinger; Burkhard Rost (Frontiers Bioinform., 2022)

Nearest neighbor search on embeddings rapidly identifies distant protein relations. - Konstantin Schütze; Michael Heinzinger; Martin Steinegger; Burkhard Rost (Frontiers Bioinform., 2022)

ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning. - Ahmed Elnaggar; Michael Heinzinger; Christian Dallago; Ghalia Rehawi; Yu Wang; Llion Jones; Tom Gibbs; Tamas Feher; Christoph Angerer; Martin Steinegger; Debsindhu Bhowmik; Burkhard Rost (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language models. - Vamsi Nallapareddy; Nicola Bordin; Ian Sillitoe; Michael Heinzinger; Maria Littmann; Vaishali P. Waman; Neeladri Sen; Burkhard Rost; Christine A. Orengo (Bioinform., 2023)

CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. - Alessio Del Conte; Adel Bouhraoua; Mahta Mehdiabadi; Damiano Clementel; Alexander Miguel Monzon; Alex S. Holehouse; Daniel A. Griffith; Ryan J. Emenecker; Ashwini Patil; Ronesh Sharma; Tatsuhiko Tsunoda; Alok Sharma; et al. (Nucleic Acids Res., 2023)