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A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding
Authors:Rahmad Akbar  Philippe A. Robert  Milena Pavlović  Jeliazko R. Jeliazkov  Igor Snapkov  Andrei Slabodkin  Cédric R. Weber  Lonneke Scheffer  Enkelejda Miho  Ingrid Hobæk Haff  Dag Trygve Tryslew Haug  Fridtjof Lund-Johansen  Yana Safonova  Geir K. Sandve  Victor Greiff
Affiliation:1. Department of Immunology, University of Oslo, Oslo, Norway;2. Department of Informatics, University of Oslo, Oslo, Norway;3. Department of Biochemistry, University of Zürich, Zürich, Switzerland;4. Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland;5. Institute of Medical Engineering and Medical Informatics, School of Life Sciences, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Muttenz, Switzerland;6. Department of Mathematics, University of Oslo, Oslo, Norway;7. Department of Philosophy, Classics, History of Arts and Ideas, Oslo, Norway;8. Computer Science and Engineering Department, University of California, San Diego, La Jolla, CA, USA;9. Centre for Bioinformatics, University of Oslo, Norway;10. K.G. Jebsen Centre for Coeliac Disease Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
Abstract:
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  • Keywords:antibody  antigen  paratope  epitope  structure  prediction  deep learning  machine learning
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