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Origin-1: a generative AI platform for de novo antibody design against novel epitopes

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Origin-1

This repository contains data generated as part of the study Origin-1: a generative AI platform for de novo antibody design against novel epitopes. In silico and in vitro data are included in this repository. Additional binding, developability, functionality, and structure confirmation results can be found in the paper.


Data in de_novo_spr_data.csv are organized with the following columns:

  • Design: Design identifier indicating target and rank (lower = higher rank)
  • Heavy Chain: Heavy chain variable domain sequence
  • Light Chain: Light chain variable domain sequence
  • Target: Target antigen
  • Framework: Therapeutic antibody used for framework scaffold
  • Epitope: Epitope identifier
  • Binder: Boolean indicating whether or not the design is a binder

Data in lead_optimization_spr_data.csv are organized with the following columns:

  • Heavy Chain: Heavy chain variable domain sequence
  • Light Chain: Light chain variable domain sequence
  • Target: Target antigen. We use AZGP1-A and AZGP1-B to both indicate screening against AZGP1 but that different parents were used for optimization.
  • Mutation: Mutation made from parent sequence (e.g. H-S31A is an S to A mutation at 1-indexed position 31 of the heavy chain). NaN indicates the parent sequence.
  • Binder: Boolean indicating whether or not the design is a binder. Note that a NaN may be present which indicates the respective antibody could not be measured for binding.
  • KD (nM): Dissociation constant in nM units
  • pKD: Negative logarithm of dissociation constant

The abscibind and abscigen folders contain the computational models generated for the reported designs by AbsciBind and AbsciGen, respectively.

Citations

If you find these data or results useful, we ask that you cite our work:

@article{Levine2026Origin1,
  title = {Origin-1: a generative AI platform for de novo antibody design against novel epitopes},
  author = {Levine, Simon and King, Jonathan Edward and Stern, Jacob and Grayson, David and Wang, Raymond and Yin, Rui and Lupo, Umberto and Kulytė, Paulina and Brand, Ryan Matthew and Bertin, Tristan and Pfingsten, Robert and Cejovic, Jovan and Chung, Chelsea and Luton, Breanna K. and Hagemann, Andrew and Haile, Robel and Medina, Elliot and Panwar, Pankaj and Dubrovskyi, Oleksii and LaCombe, Chase and Anderson, Zahra and Mildh, Derrik and Benjamin, Scott and Kaiser, Joe and Ferron, Joseph and Sarrico, Marta and Kershner, Alexandria and Mishra, Apurva and Ejan, Kai R. and Marsh, Emily K. and Bringas, Paul and Vilaychack, Phetsamay and Chapman, Kyra and Ripley, Jacob and Gowda, Muttappa and Collins, Kathryn M. and McCloskey, Cailen M. and Joseph, Jeremiah S. and Ripley, Rylee and Abdulhaqq, Shaheed A. and Feltner, Audree and Guerin, Michael and Goby, Jeffrey and Hendricks, Jesse and Castillo, Danielle and McClain, Sean and Ganini, Douglas and Shpiel, Derek and Mategko, James and Garcia, Eder Cruz and Zabet-Moghaddam, Masoud and Sutton, John M. and Guo, Zheyuan and West, Sean M. and Iyer, Janani S. and Shanehsazzadeh, Amir},
  year = {2026},
  journal = {bioRxiv},
  doi = {10.64898/2026.01.14.699389},
  url = {https://www.biorxiv.org/content/10.64898/2026.01.14.699389v1}
}

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