Now published: We trained a chemical language model that works with both small molecules and peptides. Ideal for making predictions on peptides with non-standard amino acids or other chemical modifications.
https://pubs.acs.org/doi/full/10.1021/acs.jcim.4c01441

Computational biologist, data scientist, digital artist | 
https://clauswilke.art/links | Hosting /ai-art & /clauswilke

What is the limitation on the length of the peptide and can it work for 'any' chemical modification or just methylation / pegylation?

∂αFβγ + ∂βFγα + ∂γFαβ = 0 | Che, boludo! Visit /degen . Disclaimer: My casts are not financial advice! 

Santiago del Estero, Santiago del Estero Province, Argentina

Any chemical modification, and roughly 100 amino acids. Our context window is 768 tokens, and most amino acids require about 7 tokens to be represented, but details depend on the size of the amino acid. (The larger amino acids need more tokens.)