IntFold: A Controllable Foundation Model for General and Specialized
  Biomolecular Structure Prediction
Authors: name: The IntFold Team, name: Leon Qiao, name: Wayne Bai, name: He Yan, name: Gary Liu, name: Nova Xi, name: Xiang Zhang

We introduce IntFold, a controllable foundation model for both general and
specialized biomolecular structure prediction. IntFold demonstrates predictive
accuracy comparable to the state-of-the-art AlphaFold3, while utilizing a
superior customized attention kernel. Beyond standard structure prediction,
IntFold can be adapted to predict allosteric states, constrained structures,
and binding affinity through the use of individual adapters. Furthermore, we
introduce a novel confidence head to estimate docking quality, offering a more
nuanced assessment for challenging targets such as antibody-antigen complexes.
Finally, we share insights gained during the training process of this
computationally intensive model.