Greiff, Victor
Oslo University Hospital · University of Oslo
13 papers on CoChatORCID 0000-0003-2622-5032
Most cited papers
- Verified
Hopfield Networks is All You Need
Ramsauer, H., Schäfl, B., Lehner, J., Seidl, P., Widrich, M., Adler, T., Gruber, L., Holzleitner, M., Pavlović, M., Sandve, G. K., et al. (2020) · arXiv
Neural Networks and ApplicationsNeural Networks and Reservoir Computing
Cited by 236
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Bioinformatic and Statistical Analysis of Adaptive Immune Repertoires
Greiff, V., Miho, E., Menzel, U., & Reddy, S. T. (2015) · Trends in Immunology
T-cell and B-cell Immunologyvaccines and immunoinformatics approaches
Cited by 210
- Verified
Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires
Miho, E., Yermanos, A., Weber, C. R., Berger, C. T., Reddy, S. T., & Greiff, V. (2018) · Frontiers in Immunology
vaccines and immunoinformatics approachesT-cell and B-cell Immunology
Cited by 189
- Verified
A bioinformatic framework for immune repertoire diversity profiling enables detection of immunological status
Greiff, V., Bhat, P., Cook, S. C., Menzel, U., Kang, W., & Reddy, S. T. (2015) · Genome Medicine
T-cell and B-cell Immunologyvaccines and immunoinformatics approaches
Cited by 181
- Verified
Animal immunization, in vitro display technologies, and machine learning for antibody discovery
Laustsen, A. H., Greiff, V., Karatt-Vellatt, A., Muyldermans, S., & Jenkins, T. P. (2021) · Trends in Biotechnology
Monoclonal and Polyclonal Antibodies ResearchAnimal testing and alternatives
Cited by 147
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Large-scale network analysis reveals the sequence space architecture of antibody repertoires
Miho, E., Roškar, R., Greiff, V., & Reddy, S. T. (2019) · Nature Communications
Monoclonal and Polyclonal Antibodies ResearchT-cell and B-cell Immunology
Cited by 138
- Verified
In silico proof of principle of machine learning-based antibody design at unconstrained scale
Akbar, R., Robert, P. A., Weber, C. R., Widrich, M., Frank, R., Pavlović, M., Scheffer, L., Chernigovskaya, M., Snapkov, I., Slabodkin, A., et al. (2022) · mAbs
Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches
Cited by 94
- Verified
Augmenting adaptive immunity: progress and challenges in the quantitative engineering and analysis of adaptive immune receptor repertoires
Brown, A. J., Snapkov, I., Akbar, R., Pavlović, M., Miho, E., Sandve, G. K., & Greiff, V. (2019) · Molecular Systems Design & Engineering
Artificial Immune Systems ApplicationsT-cell and B-cell Immunology
Cited by 59
- Verified
Antibody variable sequences have a pronounced effect on cellular transport and plasma half-life
Grevys, A., Frick, R., Mester, S., Flem-Karlsen, K., Nilsen, J., Foss, S., Sand, K. M. K., Emrich, T., Fischer, J. A. A., Greiff, V., et al. (2022) · iScience
Monoclonal and Polyclonal Antibodies ResearchProtein purification and stability
Cited by 51
- Verified
Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability
Bashour, H., Smorodina, E., Pariset, M., Zhong, J., Akbar, R., Chernigovskaya, M., Lê Quý, K., Snapkow, I., Rawat, P., Krawczyk, K., et al. (2024) · Communications Biology
Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches
Cited by 32
- Verified
Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability
Bashour, H., Smorodina, E., Pariset, M., Zhong, J., Akbar, R., Chernigovskaya, M., Quý, K. L., Snapkov, I., Rawat, P., Krawczyk, K., et al. (2023) · Communications Biology
Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches
Cited by 32
- Verified
Assessing AF2’s ability to predict structural ensembles of proteins
Riccabona, J. R., Spoendlin, F. C., Fischer, A.-L. M., Loeffler, J. R., Quoika, P. K., Jenkins, T. P., Ferguson, J. A., Smorodina, E., Laustsen, A. H., Greiff, V., et al. (2024) · Structure
Protein Structure and DynamicsEnzyme Structure and Function
Cited by 17
- Verified
Assessing AF2’s ability to predict structural ensembles of proteins
Riccabona, J. R., Spoendlin, F. C., Fischer, A.-L. M., Loeffler, J. R., Quoika, P. K., Jenkins, T. P., Ferguson, J. A., Smorodina, E., Laustsen, A. H., Greiff, V., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory)
Protein Structure and DynamicsEnzyme Structure and Function
Cited by 2
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