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Science
Article
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https://doi.org/10.1101/2020.1...
Article . 2020 . Peer-reviewed
License: CC BY NC ND
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Science
Article . 2021 . Peer-reviewed
Data sources: Crossref
Science
Article . 2021
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De novo design of transmembrane β barrels

Authors: Anastassia A. Vorobieva; Paul White; Binyong Liang; Jim E. Horne; Asim K. Bera; Cameron M. Chow; Stacey Gerben; +12 Authors
Abstract

Building a barrel Computational design offers the possibility of making proteins with customized structures and functions. The range of accessible protein scaffolds has expanded with the design of increasingly complex cytoplasmic proteins and, recently, helical membrane proteins. Vorobieva et al. describe the successful computational design of eight-stranded transmembrane β-barrel proteins (TMBs). Using an iterative approach, they show the importance of negative design to prevent off-target structures and gain insight into the sequence determinants of TMB folding. Twenty-three designs satisfied biochemical screens for a TMB structure, and two structures were experimentally validated by nuclear magnetic resonance spectroscopy or x-ray crystallography. This is a step toward the custom design of pores for applications such as single-molecule sequencing. Science , this issue p. eabc8182

Keywords

Models, Molecular, Protein Folding, Magnetic Resonance Spectroscopy, Protein Conformation, Protein Stability, Lipid Bilayers, Membrane Proteins, Hydrogen Bonding, Membranes, Artificial, Crystallography, X-Ray, Protein Engineering, Computer Simulation, Protein Conformation, beta-Strand, Amino Acid Sequence, Hydrophobic and Hydrophilic Interactions, Micelles

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    114
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
114
Top 1%
Top 10%
Top 1%
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