@article{chalamalasetty2026tubercuprobe,
  title = {TubercuProbe: A cross-attention graph-sequence model for cross-species chemoproteomic discovery in Mycobacterium tuberculosis},
  author = {Chalamalasetty, Abhiram and Mishra, Adesh Rohan and Ferguson, Fleur M. and Sanchez-Lengeling, Benjamin and Barraza-Chavez, José Manuel and Jinich, Adrian},
  journal = {bioRxiv},
  year = {2026},
  month = jan,
  doi = {10.64898/2026.01.04.697588},
  url = {https://doi.org/10.64898/2026.01.04.697588},
  preprint = {https://www.biorxiv.org/content/10.64898/2026.01.04.697588v1},
  keywords = {proteins, graphs, datacentric-ai, ai},
  abstract = {Pairs a GINE molecular graph encoder with frozen ESM-C protein language model embeddings via cross-attention to predict covalent target engagement across pathogen proteomes with few-shot transfer.},
}