ML-based antibody design (dump list)

[kntkb]

• Predicting unseen antibodies’ neutralizability via adaptive graph neural networks
• Assessing antibody and nanobody nativeness for hit selection and humanization with AbNatiV
• ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins
• Evaluation of AlphaFold Antibody-Antigen Modeling with Implications for Improving Predictive Accuracy
• Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries
• Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space
• Towards the accurate modelling of antibody-antigen complexes from sequence using machine learning and information-driven docking
• Best practices for machine learning in antibody discovery and development