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Human Genetics|December 30, 2021
Embeddings from protein language models predict conservation and variant effectsCéline Marquet, Michael Heinzinger, Tobias Olenyi, et al.Nature Communications|August 11, 2023
Domain loss enabled evolution of novel functions in the snake three-finger toxin gene superfamilyIvan Koludarov, Tobias Senoner, Timothy N W Jackson, et al.Trends in Biochemical Sciences|December 12, 2022
Novel machine learning approaches revolutionize protein knowledgeNicola Bordin, Christian Dallago, Michael Heinzinger, et al.Bioinformatics (Oxford, England)|November 16, 2013
ISCB: past-present perspective for the International Society for Computational BiologyBurkhard RostBioinformatics (Oxford, England)|January 17, 2023
CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language modelsVamsi Nallapareddy, Nicola Bordin, Ian Sillitoe, et al.Journal of Molecular Biology|June 8, 2002
Enzyme function less conserved than anticipatedBurkhard RostCurrent Opinion in Structural Biology|July 20, 2002
Did evolution leap to create the protein universe?Burkhard RostBioinformatics (Oxford, England)|December 20, 2013
ISCB: past-present perspective for the International Society for Computational BiologyBurkhard RostBriefings in Bioinformatics|July 17, 2020
Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteinsJan Zaucha, Michael Heinzinger, A Kulandaisamy, et al.Nucleic Acids Research|June 26, 2003
UniqueProt: Creating representative protein sequence setsSven Mika, Burkhard RostPageof 25