Ngā tūemi rite

• ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning
  mā: Michalewicz, Kevin, me ētahi atu.
  I whakaputaina: (2024)
• Protein generation with embedding learning for motif diversification
  mā: Michalewicz, Kevin, me ētahi atu.
  I whakaputaina: (2025)
• Integrating protein sequence embeddings with structure via graph-based deep learning for single-residue property prediction
  mā: Michalewicz, Kevin, me ētahi atu.
  I whakaputaina: (2025)
• Prediction of good reaction coordinates and future evolution of MD trajectories using Regularized Sparse Autoencoders: A novel deep learning approach
  mā: Gupta, Abhijit
  I whakaputaina: (2022)
• Loop-Diffusion: an equivariant diffusion model for designing and scoring protein loops
  mā: Borisiak, Kevin, me ētahi atu.
  I whakaputaina: (2024)