scholarly journals Testing the transferability of a coarse-grained model to intrinsically disordered proteins

2015 ◽  
Vol 17 (47) ◽  
pp. 31741-31749 ◽  
Author(s):  
Gil O. Rutter ◽  
Aaron H. Brown ◽  
David Quigley ◽  
Tiffany R. Walsh ◽  
Michael P. Allen
Keyword(s):  
Intrinsically Disordered Proteins ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Coarse Grained Model ◽  
Intrinsically Disordered

The coarse-grained PLUM model is shown to capture structural and dimerization behaviour of the intrinsically disordered biomineralisation peptide n16N.

scholarly journals A predictive coarse-grained model for position-specific effects of post-translational modifications on disordered protein phase separation

2020 ◽  
Author(s):  
T. M. Perdikari ◽  
N. Jovic ◽  
G. L. Dignon ◽  
Y. C. Kim ◽  
N. L. Fawzi ◽  
...  
Keyword(s):  
Amino Acids ◽  
Phase Separation ◽  
Phase Behavior ◽  
Intrinsically Disordered Proteins ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Post Translational Modifications ◽  
Coarse Grained Model ◽  
Intrinsically Disordered ◽  
Liquid Liquid Phase Separation

AbstractBiomolecules undergo liquid-liquid phase separation (LLPS) resulting in the formation of multicomponent protein-RNA membraneless organelles in cells. However, the physiological and pathological role of post translational modifications (PTMs) on the biophysics of phase behavior is only beginning to be probed. To study the effect of PTMs on LLPS in silico, we extend our transferable coarse-grained model of intrinsically disordered proteins to include phosphorylated and acetylated amino acids. Using the parameters for modified amino acids available for fixed charge atomistic forcefields, we parameterize the size and atomistic hydropathy of the coarse-grained modified amino acid beads, and hence the interactions between the modified and natural amino acids. We then elucidate how the number and position of phosphorylated and acetylated residues alter the protein’s single chain compactness and its propensity to phase separate. We show that both the number and the position of phosphorylated threonines/serines or acetylated lysines can serve as a molecular on/off switch for phase separation in the well-studied disordered regions of FUS and DDX3X, respectively. We also compare modified residues to their commonly used PTM mimics for their impact on chain properties. Importantly, we show that the model can predict and capture experimentally measured differences in the phase behavior for position-specific modifications, showing that the position of modifications can dictate phase separation. In sum, this model will be useful for studying LLPS of post-translationally modified intrinsically disordered proteins and predicting how modifications control phase behavior with position-specific resolution.Statement of SignificancePost-translational modifications are important regulators of liquid-liquid phase separation (LLPS) which drives the formation of biomolecular condensates. Theoretical methods can be used to characterize the biophysical properties of intrinsically disordered proteins (IDPs). Our recent framework for molecular simulations using a Cα-centered coarse-grained model can predict the effect of various perturbations such as mutations (Dignon et al. PloS Comput. Biol, 2018) and temperature (Dignon et al, ACS Cent. Sci., 2019) on LLPS. Here, we expand this framework to incorporate modified residues like phosphothreonine, phosphoserine and acetylysine. This model will prove useful for simulating the phase separation of post-translationally modified IDPs and predicting how position-specific modifications can control phase behavior across the large family of proteins known to be phosphorylated and acetylated.

scholarly journals Disordered peptide chains in an α-C-based coarse-grained model

2018 ◽  
Vol 20 (28) ◽  
pp. 19057-19070 ◽  
Author(s):  
Łukasz Mioduszewski ◽  
Marek Cieplak
Keyword(s):  
Intrinsically Disordered Proteins ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Dynamical Model ◽  
Coarse Grained Model ◽  
Intrinsically Disordered

A one-bead-per-residue coarse-grained dynamical model for intrinsically disordered proteins is proposed. It distinguishes between the backbone and sidechain interactions.

scholarly journals Identifying sequence perturbations to an intrinsically disordered protein that determine its phase-separation behavior

2020 ◽  
Vol 117 (21) ◽  
pp. 11421-11431 ◽  
Author(s):  
Benjamin S. Schuster ◽  
Gregory L. Dignon ◽  
Wai Shing Tang ◽  
Fleurie M. Kelley ◽  
Aishwarya Kanchi Ranganath ◽  
...  
Keyword(s):  
Phase Separation ◽  
Intrinsically Disordered Proteins ◽  
Lipid Membrane ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Sequence Features ◽  
Intrinsically Disordered ◽  
Arginine Residues

Phase separation of intrinsically disordered proteins (IDPs) commonly underlies the formation of membraneless organelles, which compartmentalize molecules intracellularly in the absence of a lipid membrane. Identifying the protein sequence features responsible for IDP phase separation is critical for understanding physiological roles and pathological consequences of biomolecular condensation, as well as for harnessing phase separation for applications in bioinspired materials design. To expand our knowledge of sequence determinants of IDP phase separation, we characterized variants of the intrinsically disordered RGG domain from LAF-1, a model protein involved in phase separation and a key component of P granules. Based on a predictive coarse-grained IDP model, we identified a region of the RGG domain that has high contact probability and is highly conserved between species; deletion of this region significantly disrupts phase separation in vitro and in vivo. We determined the effects of charge patterning on phase behavior through sequence shuffling. We designed sequences with significantly increased phase separation propensity by shuffling the wild-type sequence, which contains well-mixed charged residues, to increase charge segregation. This result indicates the natural sequence is under negative selection to moderate this mode of interaction. We measured the contributions of tyrosine and arginine residues to phase separation experimentally through mutagenesis studies and computationally through direct interrogation of different modes of interaction using all-atom simulations. Finally, we show that despite these sequence perturbations, the RGG-derived condensates remain liquid-like. Together, these studies advance our fundamental understanding of key biophysical principles and sequence features important to phase separation.

scholarly journals Examining the Ensembles of Amyloid-β Monomer Variants and their Propensities to Form Fibers Using an Energy Landscape Visualization Method

2021 ◽  
Author(s):  
Murilo N Sanches ◽  
Kaitlin Knapp ◽  
Antonio Bento Oliveira Junior ◽  
Peter G Wolynes ◽  
Jose N Onuchic ◽  
...  
Keyword(s):  
Intrinsically Disordered Proteins ◽  
Energy Landscape ◽  
Single Point ◽  
Point Mutations ◽  
Amyloid Β ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Visualization Method ◽  
Intrinsically Disordered ◽  
Single Point Mutations

The amyloid-β (Aβ) monomer, an intrinsically disordered peptide, is produced by the cleavage of the amyloid precursor protein, leading to Aβ40 and Aβ42 as major products. These two isoforms generate pathological aggregates, whose accumulation correlates with Alzheimer's disease (AD). Experiments have shown that even though the natural abundance of Aβ42 is smaller than that for Aβ40, the Aβ42 is more aggregation-prone compared to Aβ40. Moreover, several single-point mutations are associated with early-onset forms of AD. This work analyzes coarse-grained AWSEM simulations of normal Aβ40 and Aβ42 monomers, along with six single-point mutations associated with early on set disease. We analyzed the simulations using the Energy Landscape Visualization Method (ELViM), a reaction coordinate-free approach suited to explore the frustrated energy landscapes of intrinsically disordered proteins. ELViM is shown to distinguish the monomer ensembles of variants that rapidly form fibers from those that do not form fibers as readily. It also delineates the amino-acid contacts characterizing each ensemble. The results shed light on the potential of ELViM to probe intrinsically disordered proteins.

scholarly journals Coupling Bulk Phase Separation of Disordered Proteins to Membrane Domain Formation in Molecular Simulations on a Bespoke Compute Fabric

Membranes ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 17
Author(s):  
Julian C. Shillcock ◽  
David B. Thomas ◽  
Jonathan R. Beaumont ◽  
Graeme M. Bragg ◽  
Mark L. Vousden ◽  
...  
Keyword(s):  
Phase Separation ◽  
Intrinsically Disordered Proteins ◽  
Lipid Membrane ◽  
Molecular Simulations ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Computational Techniques ◽  
Domain Formation ◽  
Intrinsically Disordered ◽  
Ideal Mixing

Phospholipid membranes surround the cell and its internal organelles, and their multicomponent nature allows the formation of domains that are important in cellular signalling, the immune system, and bacterial infection. Cytoplasmic compartments are also created by the phase separation of intrinsically disordered proteins into biomolecular condensates. The ubiquity of lipid membranes and protein condensates raises the question of how three-dimensional droplets might interact with two-dimensional domains, and whether this coupling has physiological or pathological importance. Here, we explore the equilibrium morphologies of a dilute phase of a model disordered protein interacting with an ideal-mixing, two-component lipid membrane using coarse-grained molecular simulations. We find that the proteins can wet the membrane with and without domain formation, and form phase separated droplets bound to membrane domains. Results from much larger simulations performed on a novel non-von-Neumann compute architecture called POETS, which greatly accelerates their execution compared to conventional hardware, confirm the observations. Reducing the wall clock time for such simulations requires new architectures and computational techniques. We demonstrate here an inter-disciplinary approach that uses real-world biophysical questions to drive the development of new computing hardware and simulation algorithms.

scholarly journals Sequence dependent co-phase separation of RNA-protein mixtures elucidated using molecular simulations

2020 ◽  
Author(s):  
Roshan Mammen Regy ◽  
Gregory L. Dignon ◽  
Wenwei Zheng ◽  
Young Chan Kim ◽  
Jeetain Mittal
Keyword(s):  
Phase Separation ◽  
Intrinsically Disordered Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Experimental Studies ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Sequence Specificity ◽  
Intrinsically Disordered ◽  
Modelling Framework

ABSTRACTRibonucleoprotein (RNP) granules are membraneless organelles (MLOs) which majorly consist of RNA and RNA-binding proteins and are formed via liquid-liquid phase separation (LLPS). Experimental studies investigating the drivers of LLPS have shown that intrinsically disordered proteins (IDPs) and nucleic acids like RNA play a key role in modulating protein phase separation. There is currently a dearth of modelling techniques which allow one to delve deeper into how RNA plays its role as a modulator/promoter of LLPS in cells using computational methods. Here we present a coarse-grained RNA model developed to fill this gap, which together with our recently developed HPS model for protein LLPS, allows us to capture the factors driving RNA-protein co-phase separation. We explore the capabilities of the modelling framework with the LAF-1 RGG/RNA system which has been well studied in experiments and also with the HPS model previously. Further taking advantage of the fact that the HPS model maintains sequence specificity we explore the role of charge patterning on controlling RNA incorporation into condensates. With increased charge patterning we observe formation of structured or patterned condensates which suggests the possible roles of RNA in not only shifting the phase boundaries but also introducing microscopic organization in MLOs.

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