Literature DB >> 30409885

De novo design of self-assembling helical protein filaments.

Hao Shen1,2,3, Jorge A Fallas4,2, Eric Lynch2, William Sheffler1,2, Bradley Parry5,6, Nicholas Jannetty6,7, Justin Decarreau8, Michael Wagenbach8, Juan Jesus Vicente8, Jiajun Chen9,10, Lei Wang10,11, Quinton Dowling2,12, Gustav Oberdorfer1,2, Lance Stewart1, Linda Wordeman8, James De Yoreo9,10, Christine Jacobs-Wagner6,7,13, Justin Kollman2, David Baker4,2,14.   

Abstract

We describe a general computational approach to designing self-assembling helical filaments from monomeric proteins and use this approach to design proteins that assemble into micrometer-scale filaments with a wide range of geometries in vivo and in vitro. Cryo-electron microscopy structures of six designs are close to the computational design models. The filament building blocks are idealized repeat proteins, and thus the diameter of the filaments can be systematically tuned by varying the number of repeat units. The assembly and disassembly of the filaments can be controlled by engineered anchor and capping units built from monomers lacking one of the interaction surfaces. The ability to generate dynamic, highly ordered structures that span micrometers from protein monomers opens up possibilities for the fabrication of new multiscale metamaterials.
Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Year:  2018        PMID: 30409885      PMCID: PMC6637945          DOI: 10.1126/science.aau3775

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


  25 in total

1.  Ambidextrous helical nanotubes from self-assembly of designed helical hairpin motifs.

Authors:  Spencer A Hughes; Fengbin Wang; Shengyuan Wang; Mark A B Kreutzberger; Tomasz Osinski; Albina Orlova; Joseph S Wall; Xiaobing Zuo; Edward H Egelman; Vincent P Conticello
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-01       Impact factor: 11.205

2.  Repurposing off-the-shelf antihelix antibodies for enabling structural biology.

Authors:  Shohei Koide
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-19       Impact factor: 11.205

3.  Designer protein assemblies with tunable phase diagrams in living cells.

Authors:  Meta Heidenreich; Joseph M Georgeson; Emanuele Locatelli; Lorenzo Rovigatti; Saroj Kumar Nandi; Avital Steinberg; Yotam Nadav; Eyal Shimoni; Samuel A Safran; Jonathan P K Doye; Emmanuel D Levy
Journal:  Nat Chem Biol       Date:  2020-07-13       Impact factor: 15.040

Review 4.  Protein Engineering for Improving and Diversifying Natural Product Biosynthesis.

Authors:  Chenyi Li; Ruihua Zhang; Jian Wang; Lauren Marie Wilson; Yajun Yan
Journal:  Trends Biotechnol       Date:  2020-01-15       Impact factor: 19.536

5.  Encoding hierarchical assembly pathways of proteins with DNA.

Authors:  Oliver G Hayes; Benjamin E Partridge; Chad A Mirkin
Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-30       Impact factor: 11.205

Review 6.  Protein Design: From the Aspect of Water Solubility and Stability.

Authors:  Rui Qing; Shilei Hao; Eva Smorodina; David Jin; Arthur Zalevsky; Shuguang Zhang
Journal:  Chem Rev       Date:  2022-08-03       Impact factor: 72.087

Review 7.  Protein Assembly by Design.

Authors:  Jie Zhu; Nicole Avakyan; Albert Kakkis; Alexander M Hoffnagle; Kenneth Han; Yiying Li; Zhiyin Zhang; Tae Su Choi; Youjeong Na; Chung-Jui Yu; F Akif Tezcan
Journal:  Chem Rev       Date:  2021-08-18       Impact factor: 72.087

Review 8.  De novo protein design, a retrospective.

Authors:  Ivan V Korendovych; William F DeGrado
Journal:  Q Rev Biophys       Date:  2020-02-11       Impact factor: 5.318

9.  Towards the directed evolution of protein materials.

Authors:  Anton Kan; Neel S Joshi
Journal:  MRS Commun       Date:  2019-04-08       Impact factor: 2.566

10.  De Novo Protein Design for Novel Folds Using Guided Conditional Wasserstein Generative Adversarial Networks.

Authors:  Mostafa Karimi; Shaowen Zhu; Yue Cao; Yang Shen
Journal:  J Chem Inf Model       Date:  2020-09-30       Impact factor: 4.956

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