ArticleCommunications chemistry2020
Extended Experimental Inferential Structure Determination Method in Determining the Structural Ensembles of Disordered Protein States.
Article in Communications chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- Role of Hsp70 chaperone in client-protein folding elucidated by Markov state modeling and NMR restraint-assisted molecular dynamics simulations.Biophysical journal · 2026Article
- AI-Physics-Experiment Trinity for Integrated Protein Dynamics Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- IDPForge: Deep Learning of Proteins with Global and Local Regions of Disorder.bioRxiv : the preprint server for biology · 2026Article
- Accurate conformational ensembles of intrinsically disordered proteins using reweighting based on NMR chemical shifts.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- IDPEnsembleTools: An open-source library for analysis of conformational ensembles of disordered proteins.Protein science : a publication of the Protein Society · 2026Article
- Determining accurate conformational ensembles of intrinsically disordered proteins at atomic resolution.Nature communications · 2025Article
- Targeting protein disorder: the next hurdle in drug discovery.Nature reviews. Drug discovery · 2025Review
- Biological insights from integrative modeling of intrinsically disordered protein systems.Current opinion in structural biology · 2025Review
- Frontiers in integrative structural modeling of macromolecular assemblies.QRB discovery · 2025Review
- Use of AI-methods over MD simulations in the sampling of conformational ensembles in IDPs.Frontiers in molecular biosciences · 2025Review
- Article
- Accounting for Fast vs Slow Exchange in Single Molecule FRET Experiments Reveals Hidden Conformational States.Journal of chemical theory and computation · 2024Article
- Computational Methods to Investigate Intrinsically Disordered Proteins and their Complexes.ArXiv · 2024Article
- Accounting for fast vs slow exchange in single molecule FRET experiments reveals hidden conformational states.bioRxiv : the preprint server for biology · 2024Article
- Using NMR diffusion data to validate MD models of disordered proteins: Test case of N-terminal tail of histone H4.Biophysical journal · 2024Article
- Local Disordered Region Sampling (LDRS) for ensemble modeling of proteins with experimentally undetermined or low confidence prediction segments.Bioinformatics (Oxford, England) · 2023Article
- Systematic identification of conditionally folded intrinsically disordered regions by AlphaFold2.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Delineating Structural Propensities of the 4E-BP2 Protein via Integrative Modeling and Clustering.The journal of physical chemistry. B · 2023Article
- Local Disordered Region Sampling (LDRS) for Ensemble Modeling of Proteins with Experimentally Undetermined or Low Confidence Prediction Segments.bioRxiv : the preprint server for biology · 2023Article
- Learning to evolve structural ensembles of unfolded and disordered proteins using experimental solution data.The Journal of chemical physics · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Proteins with intrinsic or unfolded state disorder comprise a new frontier in structural biology, requiring the characterization of diverse and dynamic structural ensembles. We introduce a comprehensive Bayesian framework, the Extended Experimental Inferential Structure Determination (X-EISD) method, that calculates the maximum log-likelihood of a disordered protein ensemble. X-EISD accounts for the uncertainties of a range of experimental data and back-calculation models from structures, including NMR chemical shifts, J-couplings, Nuclear Overhauser Effects (NOEs), paramagnetic relaxation enhancements (PREs), residual dipolar couplings (RDCs), hydrodynamic radii (
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