Interested in carrying out highly sensitive and efficient large-scale protein homology searches? STEAM, Search with TEA against Many, performs a fast search against large datasets of proteins translated to TEA (The Embedded Alphabet).
The preprint Rewriting protein alphabets with language models introduces a novel approach using contrastive learning to convert protein language model embeddings into a new 20-letter alphabet, TEA, enabling highly efficient large-scale protein homology searches.
You may encounter problems accessing Expasy on Tuesday July 14th from 18 h to 20h (CEST) due to maintenance work.
The diversity and coverage of Cellosaurus has been expanded through the integration of new patient-derived and commercially available cell line collections in version 56. Check out this latest release!
Apply to attend the SIB course Using the Gene Ontology Annotations in UniProt which will be live streamed on June 15! This 0.5-day course is taught by the developers of GO and annotators at UniProt.