Maria Littmann
Technische Universität München
H-index: 13
Europe-Germany
Top articles of Maria Littmann
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
LambdaPP: Fast and accessible protein‐specific phenotype predictions | Protein Science | Tobias Olenyi Céline Marquet Michael Heinzinger Benjamin Kröger Tiha Nikolova | 2023/1 |
CATHe: Detection of remote homologues for CATH superfamilies using embeddings from protein language models | Bioinformatics | Vamsi Nallapareddy Nicola Bordin Ian Sillitoe Michael Heinzinger Maria Littmann | 2023/1/1 |
Novel machine learning approaches revolutionize protein knowledge | Nicola Bordin Christian Dallago Michael Heinzinger Stephanie Kim Maria Littmann | 2023/4/1 | |
AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms | Communications biology | Nicola Bordin Ian Sillitoe Vamsi Nallapareddy Clemens Rauer Su Datt Lam | 2023/2/8 |
Refining Embedding-Based Binding Predictions by Leveraging AlphaFold2 Structures | bioRxiv | Leopold Endres Tobias Olenyi Kyra Erckert Konstantin Weißenow Burkhard Rost | 2022/9/3 |
Contrastive learning on protein embeddings enlightens midnight zone | NAR Genomics and Bioinformatics | Michael Heinzinger Maria Littmann Ian Sillitoe Nicola Bordin Christine Orengo | 2022/6 |
Clustering FunFams using sequence embeddings improves EC purity | Bioinformatics | Maria Littmann Nicola Bordin Michael Heinzinger Konstantin Schütze Christian Dallago | 2021/10/15 |
PredictProtein-predicting protein structure and function for 29 years | Nucleic acids research | Michael Bernhofer Christian Dallago Tim Karl Venkata Satagopam Michael Heinzinger | 2021/7/2 |
Learned embeddings from deep learning to visualize and predict protein sets | Current protocols | Christian Dallago Konstantin Schütze Michael Heinzinger Tobias Olenyi Maria Littmann | 2021/5 |
Embeddings from deep learning transfer GO annotations beyond homology | Scientific reports | Maria Littmann Michael Heinzinger Christian Dallago Tobias Olenyi Burkhard Rost | 2021/1/13 |
Protein embeddings and deep learning predict binding residues for various ligand classes | Scientific Reports | Maria Littmann Michael Heinzinger Christian Dallago Konstantin Weissenow Burkhard Rost | 2021/12/13 |
Prediction of Protein Function through Machine Learning | Maria Littmann | 2021 | |
Validity of machine learning in biology and medicine increased through collaborations across fields of expertise | Maria Littmann Katharina Selig Liel Cohen-Lavi Yotam Frank Peter Hönigschmid | 2020/1 |
