Evidence map›Paper›PMID 40661650›Full record

ArticlebioRxiv : the preprint server for biology2025

ProGuide: a flexible framework for modeling global conformational rearrangements in proteins using DEER-derived distance restraints.

Julian D Grosskopf, Peter Kasson, Michael T Lerch

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

3 authors.

Julian D GrosskopfDepartment of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA.ORCID 0000-0003-4275-3628
Peter KassonDepartments of Chemistry and Biochemistry and of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA.
Michael T LerchDepartment of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

Funding

Medical Scientist Training ProgramT32GM080202 · NIGMS · MEDICAL COLLEGE OF WISCONSIN · PI BARBIERI, JOSEPH T, SALZMAN, NITA H · 2010 to 2024
$5.7M
Regulation of β2-adrenergic receptor signaling by post-translational modificationsR01GM135581 · NIGMS · MEDICAL COLLEGE OF WISCONSIN · PI LERCH, MICHAEL TAYLOR · 2019 to 2023
$1.7M
Simulation-guided spectroscopy and refinement of heterogenous conformational ensemblesR01GM138444 · NIGMS · UNIVERSITY OF VIRGINIA · PI KASSON, PETER M · 2021 to 2024
$1.4M
NIGMS NIH HHS R01 GM135581NIGMS NIH HHS R01 GM138444NIGMS NIH HHS T32 GM080202
6 · The paper itself

Abstract

Conformational heterogeneity is integral to protein function - ranging from enzyme catalysis to signal transduction - and visualizing distinct conformational states requires experimental techniques capable of providing such structural information. One particularly powerful method, double electron-electron resonance (DEER) spectroscopy, can provide a high-resolution, long-range (~15-80 Å) probability distributions of distances between site-selected pairs of spin labels to resolve intra-protein distance parameters of unique protein conformations, as well as their respective likelihoods within a conformational ensemble. A current frontier in the field of DEER spectroscopy is utilizing this distance information in computational modeling to generate complete structural models of these multiple conformations. Although several methods have been developed for this purpose, modeling protein backbone structural rearrangements using multiple distance restraints remains challenging, due in part to the complexity provided by rotameric flexibility of the spin label side chain. Here, we overcome these challenges with ProGuide, a new framework for generating accurate structural models guided by DEER distance distribution information. Large conformational rearrangements are captured by performing iterative experimentally biased molecular dynamics simulations. In each iteration, spin-label rotameric heterogeneity is modeled using chiLife, and then

Identifiers

PMID40661650
PMCPMC12258946

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.