BOLD-GPCRs: A Transformer-Powered App for Predicting Ligand Bioactivity and Mutational Effects across Class A GPCRs

Davide Provasi, Kirill Konovalov, Nicholas Riina, Olivia Cullen, Marta Filizola. BOLD-GPCRs: A Transformer-Powered App for Predicting Ligand Bioactivity and Mutational Effects across Class A GPCRs. Journal of Chemical Information and Computer Sciences, 66(2):855-866, 2026. [doi]

@article{ProvasiKRCF26,
  title = {BOLD-GPCRs: A Transformer-Powered App for Predicting Ligand Bioactivity and Mutational Effects across Class A GPCRs},
  author = {Davide Provasi and Kirill Konovalov and Nicholas Riina and Olivia Cullen and Marta Filizola},
  year = {2026},
  doi = {10.1021/acs.jcim.5c01858},
  url = {https://doi.org/10.1021/acs.jcim.5c01858},
  researchr = {https://researchr.org/publication/ProvasiKRCF26},
  cites = {0},
  citedby = {0},
  journal = {Journal of Chemical Information and Computer Sciences},
  volume = {66},
  number = {2},
  pages = {855-866},
}