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Littmann, Maria
82
results:
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Format
Online (81)
Print (1)
Mediatypes
Books (1)
Articles (Online) (21)
OpenAccess-fulltext (59)
Thesis (Online) (1)
Languages
english (53)
german (7)
Sorted by: Relevance
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1
AlphaFold2 reveals commonalities and novelties in protein s..:
Bordin, Nicola
;
Sillitoe, Ian
;
Nallapareddy, Vamsi
...
Communications Biology. 6 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1038/..
?
2
CAID prediction portal: a comprehensive service for predict..:
Del Conte, Alessio
;
Bouhraoua, Adel
;
Mehdiabadi, Mahta
...
Nucleic Acids Research. 51 (2023) W1 - p. W62-W69 , 2023
Link:
https://doi.org/10.1093/..
?
3
CATHe: detection of remote homologues for CATH superfamilie..:
Nallapareddy, Vamsi
;
Bordin, Nicola
;
Sillitoe, Ian
...
Bioinformatics. 39 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1093/..
?
4
Novel machine learning approaches revolutionize protein kno..:
Bordin, Nicola
;
Dallago, Christian
;
Heinzinger, Michael
...
Trends in Biochemical Sciences. 48 (2023) 4 - p. 345-359 , 2023
Link:
https://doi.org/10.1016/..
?
5
Deep learning cluster analysis reveals subtypes in response..:
Weis, Caroline
;
Littmann, Maria
;
Triastcyn, Aleksei
...
Journal of Hepatology. 78 (2023) - p. S1151-S1152 , 2023
Link:
https://doi.org/10.1016/..
?
6
Contrastive learning on protein embeddings enlightens midni..:
Heinzinger, Michael
;
Littmann, Maria
;
Sillitoe, Ian
...
NAR Genomics and Bioinformatics. 4 (2022) 2 - p. , 2022
Link:
https://doi.org/10.1093/..
?
7
LambdaPP: Fast and accessible protein‐specific phenotype pr..:
Olenyi, Tobias
;
Marquet, Céline
;
Heinzinger, Michael
...
Protein Science. 32 (2022) 1 - p. , 2022
Link:
https://doi.org/10.1002/..
?
8
Prediction of Protein Function through Machine Learning:
Littmann, Maria
, 2021
Link:
http://nbn-resolving.de/..
?
9
PredictProtein - Predicting Protein Structure and Function ..:
Bernhofer, Michael
;
Dallago, Christian
;
Karl, Tim
...
Nucleic Acids Research. 49 (2021) W1 - p. W535-W540 , 2021
Link:
https://doi.org/10.1093/..
?
10
Clustering FunFams using sequence embeddings improves EC pu..:
Littmann, Maria
;
Bordin, Nicola
;
Heinzinger, Michael
...
Bioinformatics. 37 (2021) 20 - p. 3449-3455 , 2021
Link:
https://doi.org/10.1093/..
?
11
Protein embeddings and deep learning predict binding residu..:
Littmann, Maria
;
Heinzinger, Michael
;
Dallago, Christian
..
Scientific Reports. 11 (2021) 1 - p. , 2021
Link:
https://doi.org/10.1038/..
?
12
Learned Embeddings from Deep Learning to Visualize and Pred..:
Dallago, Christian
;
Schütze, Konstantin
;
Heinzinger, Michael
...
Current Protocols. 1 (2021) 5 - p. , 2021
Link:
https://doi.org/10.1002/..
?
13
Embeddings from deep learning transfer GO annotations beyon..:
Littmann, Maria
;
Heinzinger, Michael
;
Dallago, Christian
..
Scientific Reports. 11 (2021) 1 - p. , 2021
Link:
https://doi.org/10.1038/..
?
14
Detailed prediction of protein sub-nuclear localization:
Littmann, Maria
;
Goldberg, Tatyana
;
Seitz, Sebastian
..
BMC Bioinformatics. 20 (2019) 1 - p. , 2019
Link:
https://doi.org/10.1186/..
?
15
Correction to: Detailed prediction of protein sub-nuclear l..:
Littmann, Maria
;
Goldberg, Tatyana
;
Seitz, Sebastian
..
BMC Bioinformatics. 20 (2019) 1 - p. , 2019
Link:
https://doi.org/10.1186/..
1-15
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