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  • 1
    Publication Date: 2014-05-30
    Description: The self-assembly of proteins into highly ordered nanoscale architectures is a hallmark of biological systems. The sophisticated functions of these molecular machines have inspired the development of methods to engineer self-assembling protein nanostructures; however, the design of multi-component protein nanomaterials with high accuracy remains an outstanding challenge. Here we report a computational method for designing protein nanomaterials in which multiple copies of two distinct subunits co-assemble into a specific architecture. We use the method to design five 24-subunit cage-like protein nanomaterials in two distinct symmetric architectures and experimentally demonstrate that their structures are in close agreement with the computational design models. The accuracy of the method and the number and variety of two-component materials that it makes accessible suggest a route to the construction of functional protein nanomaterials tailored to specific applications.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4137318/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4137318/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉King, Neil P -- Bale, Jacob B -- Sheffler, William -- McNamara, Dan E -- Gonen, Shane -- Gonen, Tamir -- Yeates, Todd O -- Baker, David -- T32 GM067555/GM/NIGMS NIH HHS/ -- T32GM067555/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Jun 5;510(7503):103-8. doi: 10.1038/nature13404. Epub 2014 May 25.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA [2] Institute for Protein Design, University of Washington, Seattle, Washington 98195, USA [3]. ; 1] Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA [2] Graduate Program in Molecular and Cellular Biology, University of Washington, Seattle, Washington 98195, USA [3]. ; 1] Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA [2]. ; UCLA Department of Chemistry and Biochemistry, Los Angeles, California 90095, USA. ; 1] Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA [2] Janelia Farm Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, Virginia 20147, USA. ; Janelia Farm Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, Virginia 20147, USA. ; 1] UCLA Department of Chemistry and Biochemistry, Los Angeles, California 90095, USA [2] UCLA-DOE Institute for Genomics and Proteomics, Los Angeles, California 90095, USA [3] UCLA Molecular Biology Institute, Los Angeles, California 90095, USA. ; 1] Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA [2] Institute for Protein Design, University of Washington, Seattle, Washington 98195, USA [3] Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24870237" target="_blank"〉PubMed〈/a〉
    Keywords: Computer Simulation ; Crystallography, X-Ray ; Drug Design ; Models, Molecular ; Nanostructures/*chemistry/ultrastructure ; Protein Subunits/chemistry ; Proteins/*chemistry/ultrastructure
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2016-07-01
    Description: Herbivores play an important role in marine communities. On coral reefs, the diversity and unique feeding behaviours found within this functional group can have a comparably diverse set of impacts in structuring the benthic community. Here, using a spatially explicit model of herbivore foraging, we explore how the spatial pattern of grazing behaviours impacts the recovery of a reef ecosystem, considering movements at two temporal scales—short term (e.g. daily foraging patterns) and longer term (e.g. monthly movements across the landscape). Model simulations suggest that more spatially constrained herbivores are more effective at conferring recovery capability by providing a favourable environment to coral recruitment and growth. Results also show that the composition of food available to the herbivore community is linked directly to the pattern of space use by herbivores. To date, most studies of variability among the impacts of herbivore species have considered the diversity of feeding modes and mouthparts. Our work provides a complementary view of spatial patterns of foraging, revealing that variation in movement behaviours alone can affect patterns of benthic change, and thus broadens our view of realized links between herbivore diversity and reef recovery.
    Keywords: mathematical modelling, theoretical biology, ecology
    Electronic ISSN: 2054-5703
    Topics: Natural Sciences in General
    Published by Royal Society
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