ReviewBiophysical reviews2016
Analytical methods for structural ensembles and dynamics of intrinsically disordered proteins.
Review in Biophysical reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Phosphorylation Changes SARS-CoV-2 Nucleocapsid Protein's Structural Dynamics and Its Interaction With RNA.Proteins · 2025Article
- Review
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- Monitoring α-synuclein aggregation.Neurobiology of disease · 2023Review
- The Two-Step Clustering Approach for Metastable States Learning.International journal of molecular sciences · 2021Review
- Transient multimers modulate conformer abundances of prion protein monomer through conformational selection.Scientific reports · 2019Article
- DNP-Enhanced MAS NMR: A Tool to Snapshot Conformational Ensembles of α-Synuclein in Different States.Biophysical journal · 2018Article
- Foreword to 'Quantitative and analytical relations in biochemistry'-a special issue in honour of Donald J. Winzor's 80th birthday.Biophysical reviews · 2016Review
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Authors and funding
3 authors.
Funding
Abstract
Intrinsically disordered proteins, proteins that do not have a well-defined three-dimensional structure, make up a significant proportion of our proteome and are particularly prevalent in signaling and regulation. Although their importance has been realized for two decades, there is a lack of high-resolution experimental data. Molecular dynamics simulations have been crucial in reaching our current understanding of the dynamical structural ensemble sampled by intrinsically disordered proteins. In this review, we discuss enhanced sampling simulation methods that are particularly suitable to characterize the structural ensemble, along with examples of applications and limitations. The dynamics within the ensemble can be rigorously analyzed using Markov state models. We discuss recent developments that make Markov state modeling a viable approach for studying intrinsically disordered proteins. Finally, we briefly discuss challenges and future directions when applying molecular dynamics simulations to study intrinsically disordered proteins.
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