Evidence map›Paper›PMID 33759266›Full record

ArticleProtein science : a publication of the Protein Society2021

Improving integrative 3D modeling into low- to medium-resolution electron microscopy structures with evolutionary couplings.

Caitlyn L McCafferty, David W Taylor, Edward M Marcotte

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Caitlyn L McCaffertyDepartment of Molecular Biosciences, University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-0872-4527
David W TaylorDepartment of Molecular Biosciences, University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-6198-1194
Edward M MarcotteDepartment of Molecular Biosciences, University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0001-8808-180X

Funding

Mapping the CPLANE interactome, an extensive protein interaction network underlying human ciliopathiesR01HD085901 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI EDWARD M MARCOTTE, John B Wallingford · 2016 to 2026
$6.2M
Proteomics and model organism humanization to decode human geneticsR35GM122480 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI EDWARD M MARCOTTE · 2017 to 2026
$5.4M
Imaging macromolecular machines in gene regulationR35GM138348 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI TAYLOR, DAVID W · 2020 to 2024
$1.9M
Mapping the blood cell protein complexosomeR01DK110520 · NIDDK · UNIVERSITY OF TEXAS AT AUSTIN · PI EMILI, ANDREW, MARCOTTE, EDWARD M · 2016 to 2018
$727k
NICHD NIH HHS R01 HD085901NIDDK NIH HHS R01 DK110520NIGMS NIH HHS R35 GM122480NIGMS NIH HHS R35 GM138348
6 · The paper itself

Abstract

Electron microscopy (EM) continues to provide near-atomic resolution structures for well-behaved proteins and protein complexes. Unfortunately, structures of some complexes are limited to low- to medium-resolution due to biochemical or conformational heterogeneity. Thus, the application of unbiased systematic methods for fitting individual structures into EM maps is important. A method that employs co-evolutionary information obtained solely from sequence data could prove invaluable for quick, confident localization of subunits within these structures. Here, we incorporate the co-evolution of intermolecular amino acids as a new type of distance restraint in the integrative modeling platform in order to build three-dimensional models of atomic structures into EM maps ranging from 10-14 Å in resolution. We validate this method using four complexes of known structure, where we highlight the conservation of intermolecular couplings despite dynamic conformational changes using the BAM complex. Finally, we use this method to assemble the subunits of the bacterial holo-translocon into a model that agrees with previous biochemical data. The use of evolutionary couplings in integrative modeling improves systematic, unbiased fitting of atomic models into medium- to low-resolution EM maps, providing additional information to integrative models lacking in spatial data.

Indexed as

Cryoelectron MicroscopyModels, MolecularProteinsProteinselectron microscopyevolutionary couplingsintegrative modelingprotein 3D structure

Identifiers

PMID33759266
PMCPMC8040867

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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.