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 Planar Boronic Graphene and Nitrogenized Graphene Heterostructure for Protein Stretch and Confinement

Biomolecules ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1756
Author(s):  
Xuchang Su ◽  
Zhi He ◽  
Lijun Meng ◽  
Hong Liang ◽  
Ruhong Zhou
Keyword(s):  
Single Molecule ◽  
Intrinsically Disordered Proteins ◽  
Electron Tunneling ◽  
Amyloid Β ◽  
Protein Sequencing ◽  
Disordered Proteins ◽  
Force Microscopy ◽  
Intrinsically Disordered ◽  
Atomic Force ◽  
Dynamics Simulations

Single-molecule techniques such as electron tunneling and atomic force microscopy have attracted growing interests in protein sequencing. For these methods, it is critical to refine and stabilize the protein sample to a “suitable mode” before applying a high-fidelity measurement. Here, we show that a planar heterostructure comprising boronic graphene (BC3) and nitrogenized graphene (C3N) sandwiched stripe (BC3/C3N/BC3) is capable of the effective stretching and confinement of three types of intrinsically disordered proteins (IDPs), including amyloid-β (1–42), polyglutamine (Q42), and α-Synuclein (61–95). Our molecular dynamics simulations demonstrate that the protein molecules interact more strongly with the C3N stripe than the BC3 one, which leads to their capture, elongation, and confinement along the center C3N stripe of the heterostructure. The conformational fluctuations of IDPs are substantially reduced after being stretched. This design may serve as a platform for single-molecule protein analysis with reduced thermal noise.

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 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 Exploring Energy Landscapes of Intrinsically Disordered Proteins: Insights into Functional Mechanisms

2021 ◽  
Author(s):  
Antonio B. Oliveira ◽  
Xingcheng Lin ◽  
Prakash Kulkarni ◽  
José N. Onuchic ◽  
Susmita Roy ◽  
...  
Keyword(s):  
Intrinsically Disordered Proteins ◽  
Energy Landscape ◽  
3D Structure ◽  
Intrinsically Disordered Protein ◽  
Terminal Segment ◽  
Disordered Proteins ◽  
Conformational Ensemble ◽  
Energy Landscapes ◽  
Reaction Coordinates ◽  
Intrinsically Disordered

AbstractIntrinsically disordered proteins (IDPs) lack a rigid 3D structure and populate a polymorphic ensemble of conformations. Because of the lack of a reference conformation, their energy landscape representation in terms of reaction coordinates presents a daunting challenge. Here, our newly developed Energy Landscape Visualization Method (ELViM), a reaction coordinate-free approach, shows its prime application to explore frustrated energy landscapes of an intrinsically disordered protein, Prostate-Associated Gene 4 (PAGE4). PAGE4 is a transcriptional coactivator that potentiates the oncogene c-Jun. Two kinases, namely HIPK1 and CLK2, phosphorylate PAGE4 generating variants phosphorylated at different serine/threonine residues (HIPK1-PAGE4 and CLK2-PAGE4, respectively) with opposing functions. While HIPK1-PAGE4 predominantly phosphorylates Thr51 and potentiates c-Jun, CLK2-PAGE4 hyper-phosphorylates PAGE4 and attenuates transactivation. To understand the underlying mechanisms of conformational diversity among different phosphoforms, we have analyzed their atomistic trajectories simulated using AWSEM forcefield and the energy landscapes were elucidated using ELViM. This method allows us to identify and compare the population distributions of different conformational ensembles of PAGE4 phosphoforms using the same effective phase space. The results reveal a predominant conformational ensemble with an extended C-terminal segment of WT PAGE4, which exposes a functional residue Thr51, implying its potential of undertaking a fly-casting mechanism while binding to its cognate partner. In contrast, for HIPK1-PAGE4, a compact conformational ensemble enhances its population sequestering phosphorylated-Thr51. This clearly explains the experimentally observed weaker affinity of HIPK1-PAGE4 for c-Jun. ELViM appears as a powerful tool especially to analyze the highly-frustrated energy landscape representation of IDPs where appropriate reaction coordinates are hard to apprehend.

scholarly journals Folding Free Energy Landscape of Ordered and Intrinsically Disordered Proteins

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Song-Ho Chong ◽  
Sihyun Ham
Keyword(s):  
Free Energy ◽  
Intrinsically Disordered Proteins ◽  
Energy Landscape ◽  
Disordered Proteins ◽  
Free Energy Landscape ◽  
Ww Domain ◽  
Intrinsically Disordered ◽  
Ca 50 ◽  
Folding Free Energy

Abstract Folding funnel is the essential concept of the free energy landscape for ordered proteins. How does this concept apply to intrinsically disordered proteins (IDPs)? Here, we address this fundamental question through the explicit characterization of the free energy landscapes of the representative α-helical (HP-35) and β-sheet (WW domain) proteins and of an IDP (pKID) that folds upon binding to its partner (KIX). We demonstrate that HP-35 and WW domain indeed exhibit the steep folding funnel: the landscape slope for these proteins is ca. −50 kcal/mol, meaning that the free energy decreases by ~5 kcal/mol upon the formation of 10% native contacts. On the other hand, the landscape of pKID is funneled but considerably shallower (slope of −24 kcal/mol), which explains why pKID is disordered in free environments. Upon binding to KIX, the landscape of pKID now becomes significantly steep (slope of −54 kcal/mol), which enables otherwise disordered pKID to fold. We also show that it is the pKID–KIX intermolecular interactions originating from hydrophobic residues that mainly confer the steep folding funnel. The present work not only provides the quantitative characterization of the protein folding free energy landscape, but also establishes the usefulness of the folding funnel concept to IDPs.

The Lipid-Chaperon Hypothesis: A Common Molecular Mechanism of Membrane Disruption by Intrinsically Disordered Proteins

2020 ◽  
Author(s):  
Michele F. M. Sciacca ◽  
Fabio Lolicato ◽  
Carmelo Tempra ◽  
Federica Scollo ◽  
Bikash R. Sahoo ◽  
...  
Keyword(s):  
Intrinsically Disordered Proteins ◽  
Membrane Damage ◽  
Amyloid Β ◽  
Disordered Proteins ◽  
Amyloid Formation ◽  
Intrinsically Disordered ◽  
Molecular Events ◽  
Membrane Poration ◽  
Synuclein Proteins

<p>Increasing number of human diseases have been shown to be linked to aggregation and amyloid formation by intrinsically disordered proteins (IDPs). Amylin, amyloid-β, and α-synuclein are, indeed, involved in type-II diabetes, Alzheimer’s, and Parkinson’s, respectively. Despite the correlation of the toxicity of these proteins at early aggregation stages with membrane damage, the molecular events underlying the process is quite complex to understand. In this study, we demonstrate the crucial role of free lipids in the formation of lipid-protein complex, which enables an easy membrane insertion for amylin, amyloid-β, and α-synuclein. Experimental results from a variety of biophysical methods and molecular dynamics results reveal this common molecular pathway in membrane poration is shared by amyloidogenic (amylin, amyloid-β, and α-synuclein) and non-amyloidogenic (rat IAPP, β-synuclein) proteins. Based on these results, we propose a “lipid-chaperone” hypothesis as a unifying framework for protein-membrane poration.<b></b></p>

scholarly journals Mapping the Potential Energy Landscape of Intrinsically Disordered Proteins at Amino Acid Resolution

2012 ◽  
Vol 134 (36) ◽  
pp. 15138-15148 ◽  
Author(s):  
Valéry Ozenne ◽  
Robert Schneider ◽  
Mingxi Yao ◽  
Jie-rong Huang ◽  
Loïc Salmon ◽  
...  
Keyword(s):  
Amino Acid ◽  
Potential Energy ◽  
Intrinsically Disordered Proteins ◽  
Energy Landscape ◽  
Disordered Proteins ◽  
Intrinsically Disordered ◽  
Potential Energy Landscape

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.

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