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Modeling the Structure and Interactions of Intrinsically Disordered Peptides with Multiple Replica, Metadynamics-Based Sampling Methods and Force-Field Combinations

Lunna Li, Tommaso Casalini, Paolo Arosio, Matteo Salvalaglio

2022Journal of Chemical Theory and Computation21 citationsDOIOpen Access PDF

Abstract

Intrinsically disordered proteins play a key role in many biological processes, including the formation of biomolecular condensates within cells. A detailed characterization of their configurational ensemble and structure-function paradigm is crucial for understanding their biological activity and for exploiting them as building blocks in material sciences. In this work, we incorporate bias-exchange metadynamics and parallel-tempering well-tempered metadynamics with CHARMM36m and CHARMM22* to explore the structural and thermodynamic characteristics of a short archetypal disordered sequence derived from a DEAD-box protein. The conformational landscapes emerging from our simulations are largely congruent across methods and force fields. Nevertheless, differences in fine details emerge from varying combinations of force-fields and sampling methods. For this protein, our analysis identifies features that help to explain the low propensity of this sequence to undergo self-association in vitro, which are common to all force-field/sampling method combinations. Overall, our work demonstrates the importance of using multiple force-field and sampling method combinations for accurate structural and thermodynamic information in the study of disordered proteins.

Topics & Concepts

MetadynamicsForce field (fiction)ReplicaSampling (signal processing)Intrinsically disordered proteinsStatistical physicsField (mathematics)Molecular dynamicsUmbrella samplingSequence (biology)Function (biology)Biological systemParallel temperingConformational ensemblesComputer scienceChemical physicsPhysicsChemistryComputational chemistryArtificial intelligenceMathematicsBiologyMarkov chain Monte CarloFilter (signal processing)Computer visionMonte Carlo molecular modelingPure mathematicsEvolutionary biologyArtBiochemistryVisual artsBayesian probabilityNuclear magnetic resonanceProtein Structure and DynamicsRNA and protein synthesis mechanismsEnzyme Structure and Function
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