Seulki Kwon, Jordan Safer, Duyen T. Nguyen, David Hoksza, Patrick May, Jeremy A. Arbesfeld, Alan F. Rubin, Arthur J. Campbell, Alex Burgin, Sumaiya Iqbal
{"title":"基因组学 2 蛋白质门户网站:将基因筛选结果与蛋白质序列和结构联系起来的资源和发现工具","authors":"Seulki Kwon, Jordan Safer, Duyen T. Nguyen, David Hoksza, Patrick May, Jeremy A. Arbesfeld, Alan F. Rubin, Arthur J. Campbell, Alex Burgin, Sumaiya Iqbal","doi":"10.1038/s41592-024-02409-0","DOIUrl":null,"url":null,"abstract":"Recent advances in AI-based methods have revolutionized the field of structural biology. Concomitantly, high-throughput sequencing and functional genomics have generated genetic variants at an unprecedented scale. However, efficient tools and resources are needed to link disparate data types—to ‘map’ variants onto protein structures, to better understand how the variation causes disease, and thereby design therapeutics. Here we present the Genomics 2 Proteins portal ( https://g2p.broadinstitute.org/ ): a human proteome-wide resource that maps 20,076,998 genetic variants onto 42,413 protein sequences and 77,923 structures, with a comprehensive set of structural and functional features. Additionally, the Genomics 2 Proteins portal allows users to interactively upload protein residue-wise annotations (for example, variants and scores) as well as the protein structure beyond databases to establish the connection between genomics to proteins. The portal serves as an easy-to-use discovery tool for researchers and scientists to hypothesize the structure–function relationship between natural or synthetic variations and their molecular phenotypes. The Genomics 2 Proteins portal is an open-source tool for proteome-wide linking of human genetic variants to protein sequences and structures. The portal serves as a discovery tool to hypothesize the structure–function relationship between natural or synthetic variations and their molecular phenotypes.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 10","pages":"1947-1957"},"PeriodicalIF":36.1000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41592-024-02409-0.pdf","citationCount":"0","resultStr":"{\"title\":\"Genomics 2 Proteins portal: a resource and discovery tool for linking genetic screening outputs to protein sequences and structures\",\"authors\":\"Seulki Kwon, Jordan Safer, Duyen T. Nguyen, David Hoksza, Patrick May, Jeremy A. Arbesfeld, Alan F. Rubin, Arthur J. Campbell, Alex Burgin, Sumaiya Iqbal\",\"doi\":\"10.1038/s41592-024-02409-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent advances in AI-based methods have revolutionized the field of structural biology. Concomitantly, high-throughput sequencing and functional genomics have generated genetic variants at an unprecedented scale. However, efficient tools and resources are needed to link disparate data types—to ‘map’ variants onto protein structures, to better understand how the variation causes disease, and thereby design therapeutics. Here we present the Genomics 2 Proteins portal ( https://g2p.broadinstitute.org/ ): a human proteome-wide resource that maps 20,076,998 genetic variants onto 42,413 protein sequences and 77,923 structures, with a comprehensive set of structural and functional features. Additionally, the Genomics 2 Proteins portal allows users to interactively upload protein residue-wise annotations (for example, variants and scores) as well as the protein structure beyond databases to establish the connection between genomics to proteins. The portal serves as an easy-to-use discovery tool for researchers and scientists to hypothesize the structure–function relationship between natural or synthetic variations and their molecular phenotypes. The Genomics 2 Proteins portal is an open-source tool for proteome-wide linking of human genetic variants to protein sequences and structures. 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Genomics 2 Proteins portal: a resource and discovery tool for linking genetic screening outputs to protein sequences and structures
Recent advances in AI-based methods have revolutionized the field of structural biology. Concomitantly, high-throughput sequencing and functional genomics have generated genetic variants at an unprecedented scale. However, efficient tools and resources are needed to link disparate data types—to ‘map’ variants onto protein structures, to better understand how the variation causes disease, and thereby design therapeutics. Here we present the Genomics 2 Proteins portal ( https://g2p.broadinstitute.org/ ): a human proteome-wide resource that maps 20,076,998 genetic variants onto 42,413 protein sequences and 77,923 structures, with a comprehensive set of structural and functional features. Additionally, the Genomics 2 Proteins portal allows users to interactively upload protein residue-wise annotations (for example, variants and scores) as well as the protein structure beyond databases to establish the connection between genomics to proteins. The portal serves as an easy-to-use discovery tool for researchers and scientists to hypothesize the structure–function relationship between natural or synthetic variations and their molecular phenotypes. The Genomics 2 Proteins portal is an open-source tool for proteome-wide linking of human genetic variants to protein sequences and structures. The portal serves as a discovery tool to hypothesize the structure–function relationship between natural or synthetic variations and their molecular phenotypes.
期刊介绍:
Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.