Determining accurate conformational ensembles of intrinsically disordered proteins at atomic resolution

Determining accurate atomic resolution conformational ensembles of intrinsically disordered proteins (IDPs) is extremely challenging. Molecular dynamics (MD) simulations provide atomistic conformational ensembles of IDPs, but their accuracy is highly dependent on the quality of physical models, or force fields, used. Here, we demonstrate how to determine accurate atomic resolution conformational ensembles of IDPs by integrating all-atom MD simulations with experimental data from nuclear magnetic resonance (NMR) spectroscopy and small-angle x-ray scattering (SAXS) with a simple, robust and fully automated maximum entropy reweighting procedure. We demonstrate that in favorable cases, where IDP ensembles obtained from different MD force fields are in reasonable initial agreement with experimental data, reweighted ensembles obtained with this approach converge to highly similar conformational distributions. The maximum entropy reweighting procedure presented here facilitates the integration of MD simulations with extensive experimental datasets and demonstrates progress towards the calculation of accurate, force-field independent conformational ensembles of IDPs at atomic resolution.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-10-10
DOI
https://doi.org/10.1038/s41467-025-64098-3
Citations
14
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
11.28

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determining accurate conformational ensembles of intrinsically disordered proteins at atomic resolution

Massimiliano Bonomi, Francesco Paolo Panei, Paul Robustelli, Thomas R. Sisk et al.
14 citations
Nature Communications
Protein Structure and Dynamics
11.28
article

Determining accurate conformational ensembles of intrinsically disordered proteins at atomic resolution

Massimiliano Bonomi, Francesco Paolo Panei, Paul Robustelli, Thomas R. Sisk, Kaushik Borthakur
article en
14 citations

Abstract

Determining accurate atomic resolution conformational ensembles of intrinsically disordered proteins (IDPs) is extremely challenging. Molecular dynamics (MD) simulations provide atomistic conformational ensembles of IDPs, but their accuracy is highly dependent on the quality of physical models, or force fields, used. Here, we demonstrate how to determine accurate atomic resolution conformational ensembles of IDPs by integrating all-atom MD simulations with experimental data from nuclear magnetic resonance (NMR) spectroscopy and small-angle x-ray scattering (SAXS) with a simple, robust and fully automated maximum entropy reweighting procedure. We demonstrate that in favorable cases, where IDP ensembles obtained from different MD force fields are in reasonable initial agreement with experimental data, reweighted ensembles obtained with this approach converge to highly similar conformational distributions. The maximum entropy reweighting procedure presented here facilitates the integration of MD simulations with extensive experimental datasets and demonstrates progress towards the calculation of accurate, force-field independent conformational ensembles of IDPs at atomic resolution.

Nature CommunicationsVol. 16(1)
Dartmouth College (US), Centre National de la Recherche Scientifique (FR), Institut Pasteur (FR), Université Paris Cité (FR)
European Commission, Agence Nationale de la Recherche, National Institutes of Health
Openalex Percentile: Top 1%
Protein Structure and Dynamics
11.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Determining accurate conformational ensembles of intrinsically disordered proteins at atomic resolution — Massimiliano Bonomi, Francesco Paolo Panei, et al. · Nature Communications (2025) | TGRS Research Map | TGRS