Literature DB >> 25342807

Computational design of water-soluble α-helical barrels.

Andrew R Thomson1, Christopher W Wood2, Antony J Burton3, Gail J Bartlett3, Richard B Sessions4, R Leo Brady4, Derek N Woolfson5.   

Abstract

The design of protein sequences that fold into prescribed de novo structures is challenging. General solutions to this problem require geometric descriptions of protein folds and methods to fit sequences to these. The α-helical coiled coils present a promising class of protein for this and offer considerable scope for exploring hitherto unseen structures. For α-helical barrels, which have more than four helices and accessible central channels, many of the possible structures remain unobserved. Here, we combine geometrical considerations, knowledge-based scoring, and atomistic modeling to facilitate the design of new channel-containing α-helical barrels. X-ray crystal structures of the resulting designs match predicted in silico models. Furthermore, the observed channels are chemically defined and have diameters related to oligomer state, which present routes to design protein function.
Copyright © 2014, American Association for the Advancement of Science.

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Year:  2014        PMID: 25342807     DOI: 10.1126/science.1257452

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  99 in total

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2.  Computational design and experimental verification of a symmetric protein homodimer.

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7.  A monodisperse transmembrane α-helical peptide barrel.

Authors:  Kozhinjampara R Mahendran; Ai Niitsu; Lingbing Kong; Andrew R Thomson; Richard B Sessions; Derek N Woolfson; Hagan Bayley
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Review 8.  Membrane-spanning α-helical barrels as tractable protein-design targets.

Authors:  Ai Niitsu; Jack W Heal; Kerstin Fauland; Andrew R Thomson; Derek N Woolfson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-08-05       Impact factor: 6.237

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Review 10.  Biomolecular Assemblies: Moving from Observation to Predictive Design.

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