RevieweLife2024
Exploring protein structural ensembles: Integration of sparse experimental data from electron paramagnetic resonance spectroscopy with molecular modeling methods.
Review in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed.
- Elliptical β-barrel deformation underlies gating in VDAC1.Protein science : a publication of the Protein Society · 2026Article
- ADMET Profiling of the Metallodrugs: A Comparative Review of Platinum, Palladium, Gold, Ruthenium, Copper, and Zinc Anticancer Complexes.Bioinorganic chemistry and applications · 2026Review
- Deep Learning in Modeling Tools for Structural Insights into Protein-RNA Complexes, Bridging Computational and Spectroscopic Approaches.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Recent advances in quantifying protein conformational ensembles with dipolar EPR spectroscopy.Current opinion in structural biology · 2025Review
- Capturing protein dynamics across timescales with site-directed spin labeling electron paramagnetic resonance spectroscopy.Current opinion in structural biology · 2025Review
- ProGuide: a flexible framework for modeling global conformational rearrangements in proteins using DEER-derived distance restraints.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Under physiological conditions, proteins continuously undergo structural fluctuations on different timescales. Some conformations are only sparsely populated, but still play a key role in protein function. Thus, meaningful structure-function frameworks must include structural ensembles rather than only the most populated protein conformations. To detail protein plasticity, modern structural biology combines complementary experimental and computational approaches. In this review, we survey available computational approaches that integrate sparse experimental data from electron paramagnetic resonance spectroscopy with molecular modeling techniques to derive all-atom structural models of rare protein conformations. We also propose strategies to increase the reliability and improve efficiency using deep learning approaches, thus advancing the field of integrative structural biology.
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Registered trials
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.