Christian Dallago
Christian Dallago
Other namesChris Dallago
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
Light attention predicts protein location from the language of life
H Stärk, C Dallago, M Heinzinger, B Rost
Bioinformatics Advances 1 (1), vbab035, 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
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
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
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
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
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
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
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
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
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
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
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