Journal Highlight: Taxonomic landscape of the dark proteomes: Whole‐proteome scale interplay between structural darkness, intrinsic disorder, and crystallization propensity

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  • Published: Oct 22, 2018
  • Author: spectroscopyNOW
  • Channels: Proteomics
thumbnail image: Journal Highlight: Taxonomic landscape of the dark proteomes: Whole‐proteome scale interplay between structural darkness, intrinsic disorder, and crystallization propensity

A whole‐proteome scale analysis has been carried out for 5.4 million proteins from 987 proteomes in the three domains of life and viruses to uncover relationships between structural coverage, degree of putative intrinsic disorder, and predicted propensity for structure determination.

Taxonomic landscape of the dark proteomes: Whole‐proteome scale interplay between structural darkness, intrinsic disorder, and crystallization propensity

Proteomics, 2018, 1800243 online
Gang Hu, Kui Wang, Jiangning Song, Vladimir N. Uversky, Lukasz Kurgan

Abstract: Growth rate of the protein sequence universe dramatically exceeds the speed of expansion for the protein structure universe, generating an immense dark proteome that includes proteins with unknown structure. We perform a whole‐proteome scale analysis of 5.4 million proteins from 987 proteomes in the three domains of life and viruses to systematically dissect an interplay between structural coverage, degree of putative intrinsic disorder, and predicted propensity for structure determination. We found that Archaean and Bacterial proteomes have relatively high structural coverage and low amounts of disorder, whereas Eukaryotic and Viral proteomes are characterized by a broad spread of structural coverage and higher disorder levels. Our analysis reveals that dark proteomes (i.e., proteomes containing high fractions of proteins with unknown structure) have significantly elevated amounts of intrinsic disorder and are predicted to be difficult to solve structurally. Although the majority of dark proteomes are of viral origin, many dark viral proteomes have at least modest crystallization propensity and only a handful of them are enriched in the intrinsic disorder. We mapped the disorder, structural coverage and propensity for structural determination onto a novel proteome‐level sequence similarity network to analyze the interplay of these characteristics in the taxonomic landscape.

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