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      Proteome-wide signatures of function in highly diverged intrinsically disordered regions

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          Abstract

          Intrinsically disordered regions make up a large part of the proteome, but the sequence-to-function relationship in these regions is poorly understood, in part because the primary amino acid sequences of these regions are poorly conserved in alignments. Here we use an evolutionary approach to detect molecular features that are preserved in the amino acid sequences of orthologous intrinsically disordered regions. We find that most disordered regions contain multiple molecular features that are preserved, and we define these as ‘evolutionary signatures’ of disordered regions. We demonstrate that intrinsically disordered regions with similar evolutionary signatures can rescue function in vivo, and that groups of intrinsically disordered regions with similar evolutionary signatures are strongly enriched for functional annotations and phenotypes. We propose that evolutionary signatures can be used to predict function for many disordered regions from their amino acid sequences.

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          The pairwise energy content estimated from amino acid composition discriminates between folded and intrinsically unstructured proteins.

          The structural stability of a protein requires a large number of interresidue interactions. The energetic contribution of these can be approximated by low-resolution force fields extracted from known structures, based on observed amino acid pairing frequencies. The summation of such energies, however, cannot be carried out for proteins whose structure is not known or for intrinsically unstructured proteins. To overcome these limitations, we present a novel method for estimating the total pairwise interaction energy, based on a quadratic form in the amino acid composition of the protein. This approach is validated by the good correlation of the estimated and actual energies of proteins of known structure and by a clear separation of folded and disordered proteins in the energy space it defines. As the novel algorithm has not been trained on unstructured proteins, it substantiates the concept of protein disorder, i.e. that the inability to form a well-defined 3D structure is an intrinsic property of many proteins and protein domains. This property is encoded in their sequence, because their biased amino acid composition does not allow sufficient stabilizing interactions to form. By limiting the calculation to a predefined sequential neighborhood, the algorithm was turned into a position-specific scoring scheme that characterizes the tendency of a given amino acid to fall into an ordered or disordered region. This application we term IUPred and compare its performance with three generally accepted predictors, PONDR VL3H, DISOPRED2 and GlobPlot on a database of disordered proteins.
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            Duplication and divergence: the evolution of new genes and old ideas.

            Over 35 years ago, Susumu Ohno stated that gene duplication was the single most important factor in evolution. He reiterated this point a few years later in proposing that without duplicated genes the creation of metazoans, vertebrates, and mammals from unicellular organisms would have been impossible. Such big leaps in evolution, he argued, required the creation of new gene loci with previously nonexistent functions. Bold statements such as these, combined with his proposal that at least one whole-genome duplication event facilitated the evolution of vertebrates, have made Ohno an icon in the literature on genome evolution. However, discussion on the occurrence and consequences of gene and genome duplication events has a much longer, and often neglected, history. Here we review literature dealing with the occurrence and consequences of gene duplication, beginning in 1911. We document conceptual and technological advances in gene duplication research from this early research in comparative cytology up to recent research on whole genomes, "transcriptomes," and "interactomes."
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              The molecular architecture of the nuclear pore complex.

              Nuclear pore complexes (NPCs) are proteinaceous assemblies of approximately 50 MDa that selectively transport cargoes across the nuclear envelope. To determine the molecular architecture of the yeast NPC, we collected a diverse set of biophysical and proteomic data, and developed a method for using these data to localize the NPC's 456 constituent proteins (see the accompanying paper). Our structure reveals that half of the NPC is made up of a core scaffold, which is structurally analogous to vesicle-coating complexes. This scaffold forms an interlaced network that coats the entire curved surface of the nuclear envelope membrane within which the NPC is embedded. The selective barrier for transport is formed by large numbers of proteins with disordered regions that line the inner face of the scaffold. The NPC consists of only a few structural modules that resemble each other in terms of the configuration of their homologous constituents, the most striking of these being a 16-fold repetition of 'columns'. These findings provide clues to the evolutionary origins of the NPC.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                02 July 2019
                2019
                : 8
                : e46883
                Affiliations
                [1 ]deptDepartment of Cell and Systems Biology University of Toronto TorontoCanada
                [2 ]deptDepartment of Organismic and Evolutionary Biology Harvard University CambridgeUnited States
                [3 ]Max Planck Institute of Molecular Cell Biology and Genetics DresdenGermany
                [4 ]deptCenter for Molecular and Cellular Bioengineering, Biotechnology Center Technische Universität Dresden DresdenGermany
                [5 ]deptProgram in Molecular Medicine Hospital for Sick Children TorontoCanada
                [6 ]deptDepartment of Biochemistry University of Toronto TorontoCanada
                [7 ]deptDepartment of Ecology and Evolutionary Biology University of Toronto TorontoCanada
                [8 ]deptDepartment of Computer Science University of Toronto TorontoCanada
                HHMI, University of California, Berkeley United States
                HHMI, University of California, Berkeley United States
                HHMI, University of California, Berkeley United States
                University of California, Berkeley United States
                Author information
                https://orcid.org/0000-0003-1253-3843
                http://orcid.org/0000-0003-4017-6505
                https://orcid.org/0000-0001-8265-972X
                https://orcid.org/0000-0003-3118-3121
                Article
                46883
                10.7554/eLife.46883
                6634968
                31264965
                9a4808ad-67ee-4392-9cb5-bb0ff5b051f5
                © 2019, Zarin et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 15 March 2019
                : 01 July 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award ID: Alexander Graham Bell Scholarship
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award ID: Discovery Grant
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000024, Canadian Institutes of Health Research;
                Award ID: PJT-148532
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000024, Canadian Institutes of Health Research;
                Award ID: FDN-148375
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001804, Canada Research Chairs;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000196, Canada Foundation for Innovation;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award ID: Postdoctoral Fellowship
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Computational and Systems Biology
                Genetics and Genomics
                Custom metadata
                Widespread, rapidly evolving disordered regions contain molecular features that are preserved over evolution and are associated with specific biological functions.

                Life sciences
                evolution,purifying selection,clustering,mitochondial targeting signals,unstructured protein,molecular features,s. cerevisiae

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