| ProtTrans: towards cracking the language of lifes code through self-supervised deep learning and high performance computing A Elnaggar, M Heinzinger, C Dallago, G Rehawi, Y Wang, L Jones, ... IEEE transactions on pattern analysis and machine intelligence, 2021 | 1097* | 2021 |
| Modeling aspects of the language of life through transfer-learning protein sequences M Heinzinger, A Elnaggar, Y Wang, C Dallago, D Nechaev, F Matthes, ... BMC bioinformatics 20 (1), 1-17, 2019 | 448 | 2019 |
| Pathway Commons 2019 Update: integration, analysis and exploration of pathway data I Rodchenkov, O Babur, A Luna, BA Aksoy, JV Wong, D Fong, M Franz, ... Nucleic acids research 48 (D1), D489-D497, 2020 | 259 | 2020 |
| The EVcouplings Python framework for coevolutionary sequence analysis TA Hopf, AG Green, B Schubert, S Mersmann, CPI Schärfe, JB Ingraham, ... Bioinformatics 35 (9), 1582-1584, 2019 | 208 | 2019 |
| PredictProtein-predicting protein structure and function for 29 years M Bernhofer, C Dallago, T Karl, V Satagopam, M Heinzinger, M Littmann, ... Nucleic acids research 49 (W1), W535-W540, 2021 | 167 | 2021 |
| 3d infomax improves gnns for molecular property prediction H Stärk, D Beaini, G Corso, P Tossou, C Dallago, S Günnemann, P Liò International Conference on Machine Learning, 20479-20502, 2022 | 165 | 2022 |
| Embeddings from deep learning transfer GO annotations beyond homology M Littmann, M Heinzinger, C Dallago, T Olenyi, B Rost Scientific reports 11 (1), 1160, 2021 | 107 | 2021 |
| Light attention predicts protein location from the language of life H Stärk, C Dallago, M Heinzinger, B Rost Bioinformatics Advances 1 (1), vbab035, 2021 | 84 | 2021 |
| Embeddings from protein language models predict conservation and variant effects C Marquet, M Heinzinger, T Olenyi, C Dallago, K Erckert, M Bernhofer, ... Human Genetics, 1-19, 2021 | 76 | 2021 |
| Protein embeddings and deep learning predict binding residues for various ligand classes M Littmann, M Heinzinger, C Dallago, K Weissenow, B Rost Scientific Reports 11 (1), 23916, 2021 | 71 | 2021 |
| FLIP: Benchmark tasks in fitness landscape inference for proteins C Dallago, J Mou, KE Johnston, B Wittmann, N Bhattacharya, S Goldman, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 70 | 2021 |
| Learned embeddings from deep learning to visualize and predict protein sets C Dallago, K Schütze, M Heinzinger, T Olenyi, M Littmann, AX Lu, ... Current protocols 1 (5), e113, 2021 | 68 | 2021 |
| The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics H Dalla-Torre, L Gonzalez, J Mendoza-Revilla, NL Carranza, ... bioRxiv, 2023.01. 11.523679, 2023 | 57* | 2023 |
| From sequence to function through structure: Deep learning for protein design N Ferruz, M Heinzinger, M Akdel, A Goncearenco, L Naef, C Dallago Computational and Structural Biotechnology Journal 21, 238-250, 2023 | 51 | 2023 |
| GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics M Zvyagin, A Brace, K Hippe, Y Deng, B Zhang, CO Bohorquez, A Clyde, ... bioRxiv, 2022.10. 10.511571, 2022 | 40 | 2022 |
| SARS-CoV-2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms SI O’Donoghue, A Schafferhans, N Sikta, C Stolte, S Kaur, BK Ho, ... Molecular Systems Biology 17 (9), e10079, 2021 | 37* | 2021 |
| ProteomicsDB: toward a FAIR open-source resource for life-science research L Lautenbacher, P Samaras, J Muller, A Grafberger, M Shraideh, J Rank, ... Nucleic acids research 50 (D1), D1541-D1552, 2022 | 35 | 2022 |
| Novel machine learning approaches revolutionize protein knowledge N Bordin, C Dallago, M Heinzinger, S Kim, M Littmann, C Rauer, ... Trends in Biochemical Sciences 48 (4), 345-359, 2023 | 29 | 2023 |
| Clustering FunFams using sequence embeddings improves EC purity M Littmann, N Bordin, M Heinzinger, K Schütze, C Dallago, C Orengo, ... Bioinformatics 37 (20), 3449-3455, 2021 | 24 | 2021 |
| A roadmap for the functional annotation of protein families: a community perspective V de Crécy-Lagard, R Amorin de Hegedus, C Arighi, J Babor, A Bateman, ... Database 2022, 2022 | 18 | 2022 |
Burkhard RostProfessor of Computer Science & Computational Biology & Bioinformatics, TUM, MunichVerified email at tum.de
