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Found 4 papers, 2 papers with code
Understanding Biology in the Age of Artificial Intelligence
Modern life sciences research is increasingly relying on artificial intelligence approaches to model biological systems, primarily centered around the use of machine learning (ML) models.
Improving Antibody Humanness Prediction using Patent Data
We investigate the potential of patent data for improving the antibody humanness prediction using a multi-stage, multi-loss training process.
Score-Based Generative Models for Designing Binding Peptide Backbones
We apply our framework to design antibody binding loop structures conditional on a target epitope and evaluate a variety of modelling choices in SGM-based protein design.
Attentive cross-modal paratope prediction
Antibodies are a critical part of the immune system, having the function of directly neutralising or tagging undesirable objects (the antigens) for future destruction.
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