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Found 8 results
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Littmann, Maria
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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 .
Littmann M
,
Heinzinger M
,
Dallago C
,
Olenyi T
,
Rost B
.
Embeddings from deep learning transfer GO annotations beyond homology.
Sci Rep. 2021 ;11(1):1160.
Dallago C
,
Schütze K
,
Heinzinger M
,
Olenyi T
,
Littmann M
,
Lu AX
,
Yang KK
,
Min S
,
Yoon S
,
Morton JT
, et al.
Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets.
Curr Protoc. 2021 ;1(5):e113.
Bernhofer M
,
Dallago C
,
Karl T
,
Satagopam V
,
Heinzinger M
,
Littmann M
,
Olenyi T
,
Qiu J
,
Schütze K
,
Yachdav G
, et al.
PredictProtein - Predicting Protein Structure and Function for 29 Years.
Nucleic Acids Res. 2021 ;49(W1):W535-W540.
Littmann M
,
Heinzinger M
,
Dallago C
,
Weissenow K
,
Rost B
.
Protein embeddings and deep learning predict binding residues for various ligand classes.
Sci Rep. 2021 ;11(1):23916.
2019
Littmann M
,
Goldberg T
,
Seitz S
,
Boden M
,
Rost B
.
Correction to: Detailed prediction of protein sub-nuclear localization.
BMC Bioinformatics. 2019 ;20(1):727.
Littmann M
,
Goldberg T
,
Seitz S
,
Boden M
,
Rost B
.
Detailed prediction of protein sub-nuclear localization.
BMC Bioinformatics. 2019 ;20(1):205.
Scheibenreif L
,
Littmann M
,
Orengo C
,
Rost B
.
FunFam protein families improve residue level molecular function prediction.
BMC Bioinformatics. 2019 ;20(1):400.