Evidence map›Paper›PMID 37905007›Full record

ArticlebioRxiv : the preprint server for biology2023

Local structural flexibility drives oligomorphism in computationally designed protein assemblies.

Alena Khmelinskaia, Neville P Bethel, Farzad Fatehi, Aleksandar Antanasijevic, Andrew J Borst, Szu-Hsueh Lai, Jing Yang John Wang, Bhoomika Basu Mallik, Marcos C Miranda, Andrew M Watkins and 9 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

19 authors.

Alena KhmelinskaiaORCID 0000-0003-1584-9800
Aleksandar AntanasijevicORCID 0000-0001-9452-8954
Jing Yang John WangORCID 0000-0002-1511-6976
Bhoomika Basu MallikORCID 0000-0002-0592-4267
Andrew M Watkins
Cassandra Ogohara
Shane Caldwell
Mengyu Wu
David Veesler
Andrew B Ward
David Baker
Neil P King

Funding

CHEETAH Center for the Structural Biology of HIV Infection, Restriction, and Viral DynamicsU54AI170856 · NIAID · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI WALTHER H MOTHES · 2022 to 2026
$34.4M
NIAID NIH HHS U54 AI170856
6 · The paper itself

Abstract

Many naturally occurring protein assemblies have dynamic structures that allow them to perform specialized functions. For example, clathrin coats adopt a wide variety of architectures to adapt to vesicular cargos of various sizes. Although computational methods for designing novel self-assembling proteins have advanced substantially over the past decade, most existing methods focus on designing static structures with high accuracy. Here we characterize the structures of three distinct computationally designed protein assemblies that each form multiple unanticipated architectures, and identify flexibility in specific regions of the subunits of each assembly as the source of structural diversity. Cryo-EM single-particle reconstructions and native mass spectrometry showed that only two distinct architectures were observed in two of the three cases, while we obtained six cryo-EM reconstructions that likely represent a subset of the architectures present in solution in the third case. Structural modeling and molecular dynamics simulations indicated that the surprising observation of a defined range of architectures, instead of non-specific aggregation, can be explained by constrained flexibility within the building blocks. Our results suggest that deliberate use of structural flexibility as a design principle will allow exploration of previously inaccessible structural and functional space in designed protein assemblies.

Identifiers

PMID37905007
PMCPMC10614843

What OpenQuestion holds

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Registered trials

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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.