Fergus Boyles
University of Oxford(GB)Science Oxford(GB)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Protein Structure and Dynamics, Monoclonal and Polyclonal Antibodies Research, Machine Learning in Materials Science, Machine Learning and Data Classification
Most-Cited Works
- → Observed Antibody Space: A diverse database of cleaned, annotated, and translated unpaired and paired antibody sequences(2021)335 cited
- → ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins(2023)287 cited
- → Learning from the ligand: using ligand-based features to improve binding affinity prediction(2019)107 cited
- → Protein-Ligand Interaction Graphs: Learning from Ligand-Shaped 3D Interaction Graphs to Improve Binding Affinity Prediction(2022)30 cited
- → The future of machine learning for small-molecule drug discovery will be driven by data(2024)25 cited
- → Learning from Docked Ligands: Ligand-Based Features Rescue Structure-Based Scoring Functions When Trained on Docked Poses(2021)22 cited
- → Robustly interrogating machine learning-based scoring functions: what are they learning?(2023)11 cited