Evidence map›Paper›PMID 37873110›Full record

ArticlebioRxiv : the preprint server for biology2023

A Suite of Designed Protein Cages Using Machine Learning Algorithms and Protein Fragment-Based Protocols.

Kyle Meador, Roger Castells-Graells, Roman Aguirre, Michael R Sawaya, Mark A Arbing, Trent Sherman, Chethaka Senarathne, Todd O Yeates

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

8 authors.

Kyle MeadorDepartment of Chemistry and Biochemistry, University of California, Los Angeles, CA, USA 90095.
Roger Castells-GraellsUCLA-DOE Institute for Genomics and Proteomics, Los Angeles, CA, USA 90095.
Roman AguirreDepartment of Chemistry and Biochemistry, University of California, Los Angeles, CA, USA 90095.
Michael R SawayaUCLA-DOE Institute for Genomics and Proteomics, Los Angeles, CA, USA 90095.
Mark A ArbingUCLA-DOE Institute for Genomics and Proteomics, Los Angeles, CA, USA 90095.
Trent ShermanDepartment of Chemistry and Biochemistry, University of California, Los Angeles, CA, USA 90095.
Chethaka SenarathneDepartment of Chemistry and Biochemistry, University of California, Los Angeles, CA, USA 90095.
Todd O YeatesDepartment of Chemistry and Biochemistry, University of California, Los Angeles, CA, USA 90095.

Funding

Pacific Northwest Center for Cryo-EM - Screening supplementU24GM129547 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI EVANS, JAMES E, GOUAUX, JAMES E · 2018 to 2023
$54.8M
The Stanford-SLAC CryoEM Center supplementU24GM129541 · NIGMS · STANFORD UNIVERSITY · PI CHIU, WAH, HEDMAN, BRITT · 2018 to 2023
$54.8M
A Synchrotron Radiation Structural Biology ResourcesP30GM133894 · NIGMS · STANFORD UNIVERSITY · PI Ritimukta Sarangi · 2020 to 2026
$43.3M
CHEMISTRY BIOLOGY INTERFACE TRAINING PROGRAMT32GM008496 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAYNARD, HEATHER D · 1993 to 2019
$6.3M
Designing Novel Protein Assemblies as Rigid Symmetric Scaffolds for Cryo-EM ImagingR01GM129854 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YEATES, TODD O · 2019 to 2022
$1.2M
PILATUS3 X 1M X-ray detectorS10OD021512 · OD · STANFORD UNIVERSITY · PI WEIS, WILLIAM I · 2016 to 2016
$550k
NIGMS NIH HHS P30 GM133894NIGMS NIH HHS R01 GM129854NIGMS NIH HHS T32 GM008496NIGMS NIH HHS U24 GM129541NIGMS NIH HHS U24 GM129547NIH HHS S10 OD021512
6 · The paper itself

Abstract

Designed protein cages and related materials provide unique opportunities for applications in biotechnology and medicine, while methods for their creation remain challenging and unpredictable. In the present study, we apply new computational approaches to design a suite of new tetrahedrally symmetric, self-assembling protein cages. For the generation of docked poses, we emphasize a protein fragment-based approach, while for

Indexed as

cryoEMde novo interface designmachine learningprotein cagesprotein-protein dockingself-assemblysymmetry

Identifiers

PMID37873110
PMCPMC10592684

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.