Evidence map›Paper›PMID 41697239›Full record

ArticleJournal of chemical information and modeling2026

Improving Protein Structure Determination by Integrating Ensemble-Driven Molecular Dynamics with Chemical Shift-Based Restraints.

Márton Gadanecz, Zsolt Fazekas, Dóra K Menyhárd, András Perczel

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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

4 authors.

Márton GadaneczLaboratory of Structural Chemistry and Biology, Institute of Chemistry, Eötvös Loránd University, Pázmány Péter Stny. 1/A, Budapest H-1117, Hungary.ORCID 0009-0009-8076-7597
Zsolt FazekasLaboratory of Structural Chemistry and Biology, Institute of Chemistry, Eötvös Loránd University, Pázmány Péter Stny. 1/A, Budapest H-1117, Hungary.ORCID 0000-0001-5007-4807
Dóra K MenyhárdLaboratory of Structural Chemistry and Biology, Institute of Chemistry, Eötvös Loránd University, Pázmány Péter Stny. 1/A, Budapest H-1117, Hungary.ORCID 0000-0002-0095-5531
András PerczelLaboratory of Structural Chemistry and Biology, Institute of Chemistry, Eötvös Loránd University, Pázmány Péter Stny. 1/A, Budapest H-1117, Hungary.ORCID 0000-0003-1252-6416

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a protocol for nuclear magnetic resonance (NMR) chemical shift-based structure determination that employs ensemble-driven molecular dynamics (EDMD) for structure refinement. Here, specifically, Chemical-Shift-Rosetta (CS-Rosetta) was applied, followed by EDMD. EDMD eliminates the need to predict chemical shifts at every molecular dynamics (MD) step by defining continuous, differentiable potential energy functions (PEFs) based on dihedral angle distributions from CS-Rosetta models while incorporating the measurement temperature. This yielded a thermodynamically realistic, experiment-based custom force field for each studied system. We benchmarked EDMD against 5 proteins (13.1-19.2 kDa), focusing on systems with nonprotein components and demonstrated its consistent improvement of backbone root-mean-square deviation (RMSD) relative to known reference structures over the original CS-Rosetta ensemble. Moreover, EDMD enhanced the fulfillment of NOE-derived (nuclear Overhauser effect) distance restraints compared to the results of CS-Rosetta and unrestrained MD simulations. EDMD also improved NOE-RASREC-Rosetta (resolution-adapted structural recombination Rosetta protocol supplemented with NOE-based distance restraints) models and maintained the correct protein-ligand conformations. This approach provides an opportunity to refine nonconverged CS-Rosetta structure calculations, where the results would not be interpretable otherwise. EDMD can be generalized to any ensemble with scoring information, enabling refined exploration of the φ/ψ phase space and accurate reinsertion of nonprotein moieties.

Indexed as

Molecular Dynamics SimulationNuclear Magnetic Resonance, BiomolecularProteinsProtein ConformationThermodynamicsProteins

Identifiers

PMID41697239
PMCPMC12977052

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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.