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Interpretable deep learning to uncover the molecular binding patterns determining TCR–epitope interactions

Ceder Dens, Wout Bittremieux, Fabio Affaticati, Kris Laukens, Pieter Meysman
doi: https://doi.org/10.1101/2022.05.02.490264

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doi 
https://doi.org/10.1101/2022.05.02.490264
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  • October 4, 2022.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.

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  1. Ceder Dens1,
  2. Wout Bittremieux2,
  3. Fabio Affaticati1,
  4. Kris Laukens1 and
  5. Pieter Meysman*,1
  1. 1Adrem Data Lab, Department of Computer Science, University of Antwerp, Middelheimlaan 1, 2020 Antwerpen, Belgium
  2. 2Dorrestein Laboratory, University of California San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
  1. ↵*(corresponding author), pieter.meysman{at}uantwerpen.be,
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Posted October 04, 2022.
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Interpretable deep learning to uncover the molecular binding patterns determining TCR–epitope interactions
Ceder Dens, Wout Bittremieux, Fabio Affaticati, Kris Laukens, Pieter Meysman
bioRxiv 2022.05.02.490264; doi: https://doi.org/10.1101/2022.05.02.490264
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