Evidence map›Paper›PMID 40830298›Full record

ReviewNature protocols2026

In situ structure determination of conformationally flexible targets using nextPYP.

Hsuan-Fu Liu, Ye Zhou, Qinwen Huang, Jeffrey Martin, Alberto Bartesaghi

Abstract readReview
In one paragraph

Review in Nature protocols, 2026. 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

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

5 authors.

Hsuan-Fu LiuDepartment of Biochemistry, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0001-9302-7648
Ye ZhouDepartment of Computer Science, Duke University, Durham, NC, USA.
Qinwen HuangDepartment of Computer Science, Duke University, Durham, NC, USA.ORCID 0000-0002-7082-5257
Jeffrey MartinDepartment of Computer Science, Duke University, Durham, NC, USA.
Alberto BartesaghiDepartment of Biochemistry, Duke University School of Medicine, Durham, NC, USA. alberto.bartesaghi@duke.edu.ORCID 0000-0002-7360-1523

Funding

Project 3 - Dynamics of latent HIV-1 reservoirs: High resolution antigenic mapping and strategies to block reboundU54AI170752 · NIAID · DUKE UNIVERSITY · PI Derek Wilson Cain · 2022 to 2026
$32.0M
A Computational Platform for In-Situ Structure Determination at Near-Atomic Resolution using Cryo-Electron TomographyR01GM141223 · NIGMS · DUKE UNIVERSITY · PI BARTESAGHI, ALBERTO · 2021 to 2024
$1.5M
Duke Research ComputingNIAID NIH HHS U54 AI170752NIGMS NIH HHS R01 GM141223U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) U54-AI170752U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01GM141223
6 · The paper itself

Abstract

Single-particle cryoelectron tomography (SP-CET) is an imaging technique capable of determining the structure of proteins in their cellular environment at high-resolution. nextPYP is a web-based application designed to streamline the SP-CET structure determination process and facilitate the analysis of conformational variability. Here we explain how to use nextPYP-based methods to determine the structure and study the conformational heterogeneity of proteins using SP-CET. We provide a step-by-step guide to convert raw tilt-series into three-dimensional structures, following a workflow that includes movie-frame alignment, tilt-series alignment, contrast transfer function estimation, tomogram reconstruction, particle picking, high-resolution refinement and three-dimensional classification. The advantages of nextPYP are its ease-of-use and effectiveness at extracting high-resolution information, which, combined with its storage and compute efficiency, shortens time-to-structure from months to days. The complete procedure, including interactive data analysis and visualization, is fully integrated within the application, with no need for external software. Starting from raw tilt-series data, users will be able to determine a near-atomic resolution structure of human immunodeficiency virus 1 Gag protein, eight translational states of Escherichia coli 70S ribosomes and a structure of human 80S ribosomes from plasma-focused ion beam milled HeLa cells. This Protocol is intended as a resource for those who are new to SP-CET as well as more experienced users that want to streamline the process of in situ structure determination and heterogeneity analysis using nextPYP. The procedure requires 18 h to complete.

Indexed as

Cryoelectron MicroscopyElectron Microscope TomographyProteinsSoftwareHumansImage Processing, Computer-AssistedProtein ConformationProteins

Identifiers

PMID40830298
PMCPMC12370279

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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.