Evidence map›Paper›PMID 38187721›Full record

ArticlebioRxiv : the preprint server for biology2023

STOPGAP, an open-source package for template matching, subtomogram alignment, and classification.

William Wan, Sagar Khavnekar, Jonathan Wagner

Open access · greenAbstract 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, 19 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

William WanDepartment of Biochemistry and Center for Structural Biology, Vanderbilt University, Nashville TN, USA.ORCID 0000-0003-2497-3010
Sagar KhavnekarMax Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-2020-3561
Jonathan WagnerMax Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-0932-7600
Max Planck Institute of Biochemistry · DEVanderbilt University · US

Funding

Elucidating the mechanisms of viral life cycles under near-native conditionsDP2GM146321 · NIGMS · VANDERBILT UNIVERSITY · PI WAN, WILLIAM N · 2021 to 2024
$2.4M
NIGMS NIH HHS DP2 GM146321
6 · The paper itself

Abstract

Cryo-electron tomography (cryo-ET) enables molecular-resolution 3D imaging of complex biological specimens such as viral particles, cellular sections, and in some cases, whole cells. This enables the structural characterization of molecules in their near-native environments, without the need for purification or separation, thereby preserving biological information such as conformational states and spatial relationships between different molecular species. Subtomogram averaging is an image processing workflow that allows users to leverage cryo-ET data to identify and localize target molecules, determine high-resolution structures of repeating molecular species, and classifying different conformational states. Here we describe STOPGAP, an open-source package for subtomogram averaging designed to provide users with fine control over each of these steps. In providing detailed descriptions of the image processing algorithms that STOPGAP uses, we intend for this manuscript to also serve as a technical resource to users as well as further community-driven software development.

Identifiers

PMID38187721
PMCPMC10769363
OpenAlexW4390080693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.