AlphaMissense Tables and AlphaFold structures containing the mean scores can be downloaded for local analysis Under "Download" we also provide A PyMOL plugin to color these structures If you have some question, feedback, or request: contact us
GitHub - google-deepmind alphamissense AlphaMissense used multiple genetic (sequence) databases for multiple sequence alignments: BFD, MGnify, UniRef90 We refer to the AlphaFold repository for instructions on how to download these databases
HegeLab AlphaMissense is a powerful tool for visually and individually inspecting all variants of a protein Researchers can easily browse through each variant and download the dataset for each protein as a TSV file for local analysis (e g in Excel)
Accurate proteome-wide missense variant effect prediction with . . . The vast majority of missense variants observed in the human genome are of unknown clinical significance We present AlphaMissense, an adaptation of AlphaFold fine-tuned on human and primate variant population frequency databases to predict missense variant pathogenicity
AlphaMissense Track Settings AlphaMissense is a deep learning method for predicting the pathogenicity of missense variants in human proteins It classifies 32% of all missense variants as likely pathogenic and 57% as likely benign using a cutoff yielding 90% precision on the ClinVar dataset
katielink dm_alphamissense · Datasets at Hugging Face AlphaMissense_hg19 tsv gz, AlphaMissense_hg38 tsv gz: Predictions for all possible single nucleotide missense variants (71M) from 19k human protein-coding genes (canonical transcripts) for both hg19 and hg38 coordinates These files are sorted by genomic coordinates
AlphaMissense - hegelab Download Get all pdb files with AlphaMissense score: Download PyMOL plugin for coloring: Install as a plugin or run as run https: alphamissense hegelab org coloram py Finally issue the coloram command for coloring the structure You can access individual structures as https: alphamissense hegelab org structure {ID}
Predictions for AlphaMissense - Zenodo Predictions for all possible single nucleotide missense variants (71M) from 19k human protein-coding genes (canonical transcripts) for both hg19 and hg38 coordinates These files are sorted by genomic coordinates AlphaMissense_gene_hg19 tsv gz, AlphaMissense_gene_hg38 tsv gz
Releases · google-deepmind alphamissense - GitHub It is now read-only You can create a release to package software, along with release notes and links to binary files, for other people to use Learn more about releases in our docs Contribute to google-deepmind alphamissense development by creating an account on GitHub