@misc{indiciaec1002929d014,
  title = {A high-throughput phenotypic screen combined with an ultra-large-scale deep learning-based virtual screening reveals novel scaffolds of antibacterial compounds},
  author = {Scalia, G. and Rutherford, S. T. and Lu, Z. and Buchholz, K. R. and Skelton, N. and Chuang, K. and Diamant, N. and Huetter, J.-C. and Luescher, J. and Miu, A. and Blaney, J. and Gendelev, L. and Skippington, E. and Zynda, G. and Dickson, N. and Koziarski, M. and Bengio, Y. and Regev, A. and Tan, M.-W. and Biancalani, T.},
  year = {2024},
  doi = {10.1101/2024.09.11.612340},
  url = {https://www.biorxiv.org/content/10.1101/2024.09.11.612340v1},
  note = {Source identifier: 10.1101/2024.09.11.612340}
}