E-LIB Suche - Ergebnisse für: Littmann, Maria

1

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/..

2

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/..

3

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/..

4

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/..

5

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/..

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

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/..

10

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/..

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

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/..

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

FunFam protein families improve residue level molecular fun..:

Scheibenreif, Linus ; Littmann, Maria ; Orengo, Christine.
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/..