Maria Littmann
Technical University of Munich(DE)
Publications by Year
Research Areas
Machine Learning in Bioinformatics, Protein Structure and Dynamics, Genomics and Phylogenetic Studies, RNA and protein synthesis mechanisms, Bioinformatics and Genomic Networks
Most-Cited Works
- → PredictProtein - Predicting Protein Structure and Function for 29 Years(2021)262 cited
- → Embeddings from deep learning transfer GO annotations beyond homology(2021)201 cited
- → Protein embeddings and deep learning predict binding residues for various ligand classes(2021)126 cited
- → Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets(2021)118 cited
- → Contrastive learning on protein embeddings enlightens midnight zone(2022)105 cited
- → AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms(2023)97 cited
- → Novel machine learning approaches revolutionize protein knowledge(2022)70 cited
- → Validity of machine learning in biology and medicine increased through collaborations across fields of expertise(2020)70 cited
- → CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins(2023)57 cited
- → FunFam protein families improve residue level molecular function prediction(2019)41 cited