Datasetpublic

ntranoslab/vesm_scores

Proteome-wide VESM variant effect scores 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" by Tuan Dinh, Seon-Kyeong Jang, Noah Zaitlen and Vasilis Ntranos. Models: VESM_3B, VESM3, sequence-only VESM3, and VESM++ (available at https://huggingface.co/ntranoslab/vesm). VESM_3B and… See the full description on the dataset page: https://huggingface.co/datasets/ntranoslab/vesm_scores.

sourceHugging Faceupdated 1y agoView on Hugging Face

2likes380downloads

root

file.gitattributes3 KBdownload

filehg19_VESM_3B_scores.parquet.gzip492.0 MBdownload

filehg19_VESM++_scores.parquet.gzip483.7 MBdownload

filehg19_VESM3_scores.parquet.gzip499.5 MBdownload

filehg19_VESM3_sequence_only_scores.parquet.gzip484.1 MBdownload

filehg38_VESM_3B_scores.parquet.gzip504.6 MBdownload

filehg38_VESM++_scores.parquet.gzip496.6 MBdownload

filehg38_VESM3_scores.parquet.gzip512.8 MBdownload

filehg38_VESM3_sequence_only_scores.parquet.gzip496.6 MBdownload

fileREADME.md1 KBdownload

fileUniProtKB_VESM_3B_scores.parquet.gzip1.55 GBdownload

fileUniProtKB_VESM++_scores.parquet.gzip1.52 GBdownload

fileUniProtKB_VESM3_scores.parquet.gzip1.57 GBdownload

fileUniProtKB_VESM3_sequence_only_scores.parquet.gzip1.55 GBdownload

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