fair-esm

This package contains selected code and pre-trained weights for Transformer protein language models from the Meta Fundamental AI Research Protein Team (FAIR), including our state-of-the-art ESM-2 and ESMFold. (Summary from the program web page.)

The official web page: https://github.com/facebookresearch/esm

Supplementary data: AlphaFold Workshop, 30th May - 2nd June, 2023

• L20 ESMFold

Available tools:

• esmfold
• sample_sequences.py
• score_log_likelihoods.py

Example script (my_job)

#!/usr/bin/env infinity-env

# activate the module
module add fair-esm

# run the prediction with default setup (see esmfold -h for the list of options)
# T1049.fasta is an input file with the protein sequence
esmfold -i T1049.fasta -o T1049