language:
- en
tags:
- biology
- ESM
- language-model
- protein
- VEP
pretty_name: VESM scores
size_categories:
- 100M<n<1B
Proteome-wide VESM variant effect scores
This repository provides precomputed proteome-wide (UniProt, hg19, and hg38) variant-effect prediction scores using the latest VESM models developed in the paper "Compressing the collective knowledge of ESM into a single protein language model" by Tuan Dinh, Seon-Kyeong Jang, Noah Zaitlen and Vasilis Ntranos.
- Models: VESM, VESM1, VESM2, VESM3, VESM++ (available at https://huggingface.co/ntranoslab/vesm).
VESM1, VESM2 and VESM3 are individual protein language models based on ESM1b, ESM2-650m and ESM3. VESM is the average of VESM1 and VESM2 (sequence-only) and VESM++ is the ensemble of all three.
Please see the corresponding GitHub repo (https://github.com/ntranoslab/vesm) for more details.
License
The predictions of VESM, VESM1, and VESM2 are distributed under the MIT License. The VESM3 and VESM++ models are built with ESM3-Open (EvolutionaryScale), which is available under a non-commercial license agreement.