Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
tags:
|
| 5 |
+
- biology
|
| 6 |
+
- ESM
|
| 7 |
+
- language-model
|
| 8 |
+
- protein
|
| 9 |
+
- VEP
|
| 10 |
+
pretty_name: VESM scores
|
| 11 |
+
size_categories:
|
| 12 |
+
- 100M<n<1B
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
# Proteome-wide VESM variant effect scores
|
| 16 |
+
|
| 17 |
+
This repository provides precomputed **proteome-wide (UniProtKB, 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"](vesm_arxiv) by Tuan Dinh, Seon-Kyeong Jang, Noah Zaitlen and Vasilis Ntranos.
|
| 18 |
+
- **Models:** VESM_3B, VESM3, sequence-only VESM3, and VESM++ (available at https://huggingface.co/ntranoslab/vesm).
|
| 19 |
+
|
| 20 |
+
```VESM_3B and VESM3 are individual protein language models based on ESM2 (3B) and ESM3. The sequence-only VESM3 is the version of VESM3 using only sequence as the input. VESM++ is the ensemble of VESM_3B and VESM3. ```
|
| 21 |
+
|
| 22 |
+
Please see the corresponding GitHub repo (https://github.com/ntranoslab/vesm) for more details.
|
| 23 |
+
|
| 24 |
+
## License <a name="license"></a>
|
| 25 |
+
The predictions of VESM_3B are distributed under the MIT License.
|
| 26 |
+
The VESM3 and VESM++ models are built with ESM3-Open (EvolutionaryScale), which is available under a [non-commercial license agreement](https://www.evolutionaryscale.ai/policies/cambrian-open-license-agreement).
|