Biological Sequence Prediction

via “protein-sequence-annotation-and-function-prediction”

A large language model for science. Can summarize academic literature, solve math problems, generate Wiki articles, write scientific code, annotate molecules and proteins, and more. [Model API](https://github.com/paperswithcode/galai).

Unique: Combines sequence understanding with scientific literature knowledge to generate natural language explanations of protein functions alongside structured predictions, whereas specialized tools output only structured data

vs others: More interpretable than HMMER because it explains predicted functions in natural language, but less sensitive for detecting remote homologs due to lack of multiple sequence alignment