ArticleProtein science : a publication of the Protein Society2022
Compendium of proteins containing segments that exhibit zero-tolerance to amino acid variation in humans.
Article in Protein science : a publication of the Protein Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed, 2 citations in OpenAlex.
- Compendium of proteins containing segments that exhibit zero-tolerance to amino acid variation in humans.Protein science : a publication of the Protein Society · 2022Article
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5 authors at 1 institution in 1 country.
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Abstract
Genetic missense tolerance ratio (MTR) analysis systematically evaluates all possible segments in a given protein-encoding transcript found in the human population. This method scores each segment for the number of observed missense variants versus the number of silent mutations in that same segment. An MTR score of 0 indicates that no missense mutations are observed within a given segment. This is indicative of evolutionary purifying selection, which excludes mutations in that segment from the general human population. Here, we conducted MTR analysis on each of the roughly 20,000 protein-encoding human genes. It was seen that there are 257 genes with at least one 31-residue encoding segment with MTR = 0 (1.3% of all human genes). The proteins encoded by these 257 genes were tabulated along with information regarding the sequence location of each intolerant segment, the likely function of the protein, and so forth. The most functionally-enriched family among these proteins is a collection of several dozen proteins that are directly involved in RNA splicing. Some of the other proteins with zero-tolerance segments have thus far escaped significant characterization. Indeed, while a number of these proteins have previously been genetically linked to human disorders, many have not. We hypothesize that this compendium of human proteins with zero-tolerance segments can be used to complement disease mutation data as a pointer to genes and proteins that are associated with interesting and underexplored human biology.
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