• Login
    Search 
    •   Home
    • Research Centers
    • Search
    •   Home
    • Research Centers
    • Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Filter by Category

    AuthorAdamo, Antonio (1)Alam, Tanvir (1)Alazmi, Meshari (1)Ali, Amal J. (1)Arold, Stefan T. (1)View MoreDepartment
    Applied Mathematics and Computational Science Program (1)
    Biological and Environmental Sciences and Engineering (BESE) Division (1)
    Bioscience Program (1)Computational Bioscience Research Center (CBRC) (1)Computer Science Program (1)View MoreJournalBioinformatics (Oxford, England) (1)KAUST Acknowledged Support UnitBioscience Core Lab (1)
    Characterization Core Lab (1)
    Office of Sponsored Research (OSR) (1)Research Computing Core lab (1)Supercomputing Laboratory (1)KAUST Grant Number
    BAS/1/1606-01-01 (1)
    OSR-2015- CRG4-2602 (1)
    URF/1/1976-02 (1)
    URF/1/1976-04 (1)URF/1/3007-01 (1)PublisherOxford University Press (OUP) (1)TypeArticle (1)Year (Issue Date)2019 (1)Item AvailabilityOpen Access (1)

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CommunityIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguidePlumX LibguideSubmit an Item

    Statistics

    Display statistics
     

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Now showing items 1-1 of 1

    • List view
    • Grid view
    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Submit Date Asc
    • Submit Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100

    • 1CSV
    • 1RefMan
    • 1EndNote
    • 1BibTex
    • Selective Export
    • Select All
    • Help
    Thumbnail

    Proteome-level assessment of origin, prevalence and function of Leucine-Aspartic Acid (LD) motifs.

    Alam, Tanvir; Alazmi, Meshari; Naser, Rayan Mohammad Mahmoud; Huser, Franceline; Momin, Afaque Ahmad Imtiyaz; Astro, Veronica; Hong, Seungbeom; Walkiewicz, Katarzyna Wiktoria; Canlas, Christian G; Huser, Raphaël; Ali, Amal J.; Merzaban, Jasmeen; Adamo, Antonio; Jaremko, Mariusz; Jaremko, Lukasz; Bajic, Vladimir B.; Gao, Xin; Arold, Stefan T. (Bioinformatics (Oxford, England), Oxford University Press (OUP), 2019-10-04) [Article]
    MOTIVATION:Leucine-aspartic acid (LD) motifs are short linear interaction motifs (SLiMs) that link paxillin family proteins to factors controlling cell adhesion, motility and survival. The existence and importance of LD motifs beyond the paxillin family is poorly understood. RESULTS:To enable a proteome-wide assessment of LD motifs, we developed an active-learning based framework (LDmotif finder; LDMF) that iteratively integrates computational predictions with experimental validation. Our analysis of the human proteome revealed a dozen new proteins containing LD motifs. We found that LD motif signalling evolved in unicellular eukaryotes more than 800 Myr ago, with paxillin and vinculin as core constituents, and nuclear export signal (NES) as a likely source of de novo LD motifs. We show that LD motif proteins form a functionally homogenous group, all being involved in cell morphogenesis and adhesion. This functional focus is recapitulated in cells by GFP-fused LD motifs, suggesting that it is intrinsic to the LD motif sequence, possibly through their effect on binding partners. Our approach elucidated the origin and dynamic adaptations of an ancestral SLiM, and can serve as a guide for the identification of other SLiMs for which only few representatives are known. AVAILABILITY:LDMF is freely available online at www.cbrc.kaust.edu.sa/ldmf; Source code is available at https://github.com/tanviralambd/LD/. SUPPLEMENTARY INFORMATION:Supplementary data are available at Bioinformatics online.
    DSpace software copyright © 2002-2019  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.