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Augmenting adaptive immunity: progress and challenges in the quantitative engineering and analysis of adaptive immune receptor repertoires
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The adaptive immune system is a natural diagnostic sensor and therapeutic.
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“Discerning the biases of antibody repertoires can provide insights into the natural diversity of the immune system [25].”
From Computational approaches to therapeutic antibody design: established methods and emerging trends (2020) · cites this paper as [25]
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“Current bioinformatic analyses of NGS repertoires focus on large-scale decoding of the immune responses, with several potential applications for therapeutic design [22, 25, 214].”
From Computational approaches to therapeutic antibody design: established methods and emerging trends (2020) · cites this paper as [25]
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“Detection of antigen-specific sequences or the immune state could be improved by defining sequence- and structure-based rules governing adaptive immune responses through large scale analysis of antibody repertoires [25].”
BackgroundAkbar, R., Robert, P. A., Pavlović, M., Jeliazkov, J. R., Snapkov, I., Slabodkin, A., Weber, C. R., Scheffer, L., Miho, E., Haff, I. H., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108856 · Cited by 191
Self-citationAkbar, R., Bashour, H., Rawat, P., Robert, P. A., Smorodina, E., Cotet, T., Karlsen, K. F., Frank, R., Mehta, B. B., Vu, M. H., et al. (2022) · mAbs · doi:10.1080/19420862.2021.2008790 · Cited by 121
Self-citationModern Hopfield Networks and Attention for Immune Repertoire ClassificationPreprint
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Self-citation
Metadata
- Authors
- Brown, A. J., Snapkov, I., Akbar, R., Pavlović, M., Miho, E., Sandve, G. K., & Greiff, V.
- Affiliations
- Department of Biomedical Research
- University of Oslo (NO)
- FHNW University of Applied Sciences and Arts Northwestern Switzerland (CH)
- Corresponding author
- Sandve, Geir K.
- Greiff, Victor
- ORCID
- Venue
- Molecular Systems Design & Engineering
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2019
- Volume
- 4
- Issue
- 4
- Pages
- 701-736
- ISSN
- 2058-9689 (ISSN-L)
- OpenAlex
- W2926687552
- Cited by
- 59
- References
- 414
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 11 · 2023: 7 · 2022: 10 · 2021: 10 · 2020: 11 · 2019: 3
- FWCI
- 2.99
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Molecular Systems Design & Engineering (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Stiftelsen Kristian Gerhard Jebsen
- Leona M. and Harry B. Helmsley Charitable Trust (2019PG-T1D011)
- Horizon 2020 (825821)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Immune Systems Applications
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Keywords
- adaptive immunity, immune receptor repertoire, T cell receptor, B cell receptor
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