title: Analytical methods for structural ensembles and dynamics of intrinsically disordered proteins.
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.
authors.affiliation: School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK.
authors.forename: Marieke
authors.initials: M
authors.lastname: Schor
authors.affiliation: School of Chemistry, University of Edinburgh, Edinburgh, UK.
authors.forename: Antonia S J S
authors.initials: ASJS
authors.lastname: Mey
authors.affiliation: School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK. cait.macphee@ed.ac.uk.
authors.forename: Cait E
authors.identifier: http://orcid.org/0000-0001-8313-8387
authors.initials: CE
authors.lastname: MacPhee
keywords: Conformational ensembles; Enhanced sampling simulations; Intrinsically disordered proteins; Markov state modeling