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Found 6 papers, 2 papers with code
Large scale paired antibody language models
Antibodies are proteins produced by the immune system that can identify and neutralise a wide variety of antigens with high specificity and affinity, and constitute the most successful class of biotherapeutics.
Inverse folding for antibody sequence design using deep learning
We consider the problem of antibody sequence design given 3D structural information.
PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences
The last few years have seen the development of numerous deep learning-based protein-ligand docking methods.
Ranking of Communities in Multiplex Spatiotemporal Models of Brain Dynamics
Our analysis pipeline provides a way to characterise dynamic network activity of the brain under novel behaviours or conditions.
The prospects of quantum computing in computational molecular biology
Quantum computers can in principle solve certain problems exponentially more quickly than their classical counterparts.
Identifying networks with common organizational principles
Many complex systems can be represented as networks, and the problem of network comparison is becoming increasingly relevant.
