Littmann, Maria

Protein embeddings and deep learning predict binding residues for various ligand classes

Littmann, M., Heinzinger, M., Dallago, C., Weissenow, K., & Rost, B. (2021) · Scientific Reports

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 120

Contrastive learning on protein embeddings enlightens midnight zone

Heinzinger, M., Littmann, M., Sillitoe, I., Bordin, N., Orengo, C., & Rost, B. (2021) · NAR Genomics and Bioinformatics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 105

AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms

Bordin, N., Sillitoe, I., Nallapareddy, V., Rauer, C., Lam, S. D., Waman, V. P., Sen, N., Heinzinger, M., Littmann, M., Kim, S., et al. (2022) · Communications Biology

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 103

AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms

Bordin, N., Sillitoe, I., Nallapareddy, V., Rauer, C., Lam, S. D., Waman, V. P., Sen, N., Heinzinger, M., Littmann, M., Kim, S., et al. (2023) · Communications Biology

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 103

Novel machine learning approaches revolutionize protein knowledge

Bordin, N., Dallago, C., Heinzinger, M., Kim, S., Littmann, M., Rauer, C., Steinegger, M., Rost, B., & Orengo, C. (2023) · Trends in Biochemical Sciences

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 72

Validity of machine learning in biology and medicine increased through collaborations across fields of expertise

Littmann, M., Selig, K., Cohen-Lavi, L., Frank, Y., Hönigschmid, P., Kataka, E., Mösch, A., Qian, K., Ron, A., Schmid, S., et al. (2020) · Nature Machine Intelligence

Interdisciplinary Research and Collaborationscientometrics and bibliometrics research

Cited by 70

CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language models

Nallapareddy, V., Bordin, N., Sillitoe, I., Heinzinger, M., Littmann, M., Waman, V. P., Sen, N., Rost, B., & Orengo, C. (2023) · Bioinformatics

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 47

LambdaPP: Fast and accessible protein-specific phenotype predictions

Olenyi, T., Marquet, C., Heinzinger, M., Kröger, B., Nikolova, T., Bernhofer, M., Sändig, P., Schütze, K., Littmann, M., Mirdita, M., et al. (2022) · Protein Science

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 18