Publications

Found 8 results
Filters: Author is Orengo, Christine  [Clear All Filters]
2022
Heinzinger M, Littmann M, Sillitoe I, Bordin N, Orengo C, Rost B. Contrastive learning on protein embeddings enlightens midnight zone. NAR Genom Bioinform. 2022 ;4(2):lqac043.
Bordin N, Dallago C, Heinzinger M, Kim S, Littmann M, Rauer C, Steinegger M, Rost B, Orengo C. Novel machine learning approaches revolutionize protein knowledge. Trends Biochem Sci. 2022 .
2021
Littmann M, Bordin N, Heinzinger M, Schütze K, Dallago C, Orengo C, Rost B. Clustering FunFams using sequence embeddings improves EC purity. Bioinformatics. 2021 .
2019
Scheibenreif L, Littmann M, Orengo C, Rost B. FunFam protein families improve residue level molecular function prediction. BMC Bioinformatics. 2019 ;20(1):400.
2013
Radivojac P, Clark WT, Oron TRonnen, Schnoes AM, Wittkop T, Sokolov A, Graim K, Funk C, Verspoor K, Ben-Hur A, et al. A large-scale evaluation of computational protein function prediction. Nat Methods. 2013 ;10(3):221-7.
2009
Dessailly BH, Nair R, Jaroszewski L, J Fajardo E, Kouranov A, Lee D, Fiser A, Godzik A, Rost B, Orengo C. PSI-2: structural genomics to cover protein domain family space. Structure. 2009 ;17(6):869-81.
Nair R, Liu J, Soong T-T, Acton TB, Everett JK, Kouranov A, Fiser A, Godzik A, Jaroszewski L, Orengo C, et al. Structural genomics is the largest contributor of novel structural leverage. J Struct Funct Genomics. 2009 ;10(2):181-91.
2006
Berman HM, Burley SK, Chiu W, Sali A, Adzhubei A, Bourne PE, Bryant SH, Dunbrack RL, Fidelis K, Frank J, et al. Outcome of a workshop on archiving structural models of biological macromolecules. Structure. 2006 ;14(8):1211-7.