Deep learning language models have proved useful for both natural language and protein modelling. Similar to semantics in natural language, protein functions are complex and depend on the context of their environment, rather than on the similarity of sequences. Kulmanov and colleagues present an approach to frame function prediction as semantic entailment using a neuro-symbolic model to augment a large protein language model.
- Maxat Kulmanov
- Francisco J. Guzmán-Vega
- Robert Hoehndorf