Evidence map›Paper›PMID 39416012›Full record

ArticlebioRxiv : the preprint server for biology2024

Bond-centric modular design of protein assemblies.

Shunzhi Wang, Andrew Favor, Ryan Kibler, Joshua Lubner, Andrew J Borst, Nicolas Coudray, Rachel L Redler, Huat Thart Chiang, William Sheffler, Yang Hsia and 5 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Shunzhi WangDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-5033-7478
Andrew FavorInstitute for Protein Design, University of Washington, Seattle, WA, USA.
Ryan KiblerDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Joshua LubnerDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Andrew J BorstDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Nicolas CoudrayDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Rachel L RedlerDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Huat Thart ChiangDepartment of Chemical Engineering, University of Washington, Seattle, WA, USA.
William ShefflerDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Yang HsiaDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-7467-8373
Zhe LiDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Damian C EkiertDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Gira BhabhaDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Lilo D PozzoDepartment of Chemical Engineering, University of Washington, Seattle, WA, USA.
David BakerDepartment of Biochemistry, University of Washington, Seattle, WA, USA.

Funding

NCCAT: National Center for CryoEM Access and Training- Supplement for Windows 10 and FFIU24GM129539 · NIGMS · NEW YORK STRUCTURAL BIOLOGY CENTER · PI DE MARCO, ALEX, KIEFT, JEFFREY S · 2018 to 2023
$53.9M
Unravelling lipid trafficking for the bacterial outer membraneR35GM128777 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Damian Ekiert · 2018 to 2026
$4.1M
Designed Vehicles for Blood Brain Barrier TraversalR01AG063845 · NIA · UNIVERSITY OF WASHINGTON · PI BAKER, DAVID · 2019 to 2023
$2.5M
NIA NIH HHS R01 AG063845NIGMS NIH HHS R35 GM128777NIGMS NIH HHS U24 GM129539
6 · The paper itself

Abstract

We describe a modular bond-centric approach to protein nanomaterial design inspired by the rich diversity of chemical structures that can be generated from the small number of atomic valencies and bonding interactions. We design protein building blocks with regular coordination geometries and bonding interactions that enable the assembly of a wide variety of closed and opened nanomaterials using simple geometrical principles. Experimental characterization confirms successful formation of more than twenty multi-component polyhedral protein cages, 2D arrays, and 3D protein lattices, with a high (10-50 %) success rate and electron microscopy data closely matching the corresponding design models. Because of the modularity, individual building blocks can assemble with different partners to generate distinct regular assemblies, resulting in an economy of parts and enabling the construction of reconfigurable systems.

Identifiers

PMID39416012
PMCPMC11483063

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.