Literature DB >> 30230839

Atomistic Modeling of Intrinsically Disordered Proteins Under Polyethylene Glycol Crowding: Quantitative Comparison with Experimental Data and Implication of Protein-Crowder Attraction.

Valery Nguemaha1, Sanbo Qin1, Huan-Xiang Zhou1,2.   

Abstract

The malleability of intrinsically disordered proteins (IDPs) has generated great interest in understanding how their conformations respond to crowded cellular environments. Experiments can report gross properties such as fluorescence resonance energy transfer (FRET) efficiency but cannot resolve the conformational ensembles of IDPs and their interactions with macromolecular crowders. Computation can in principle provide the latter information but in practice has been hampered by the enormous expense for realistic modeling of IDPs and crowders and for sufficient conformational sampling. Here, taking advantage of a powerful method called FMAP (fast Fourier transform-based modeling of atomistic protein-crowder interactions), we computed how the conformational ensembles of three IDPs are modified in concentrated polyethylene glycol (PEG) 6000 solutions. We represented the IDPs at the all-atom level and the PEG molecules at a coarse-grained level and calculated the experimental observable, i.e., FRET efficiency. Whereas accounting for only steric repulsion of PEG led to overestimation of crowding effects, quantitative agreement with experimental data was obtained upon including mild IDP-PEG attraction. The present work demonstrates that realistic modeling of IDPs under crowded conditions for direct comparison with experiments is now achievable.

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Year:  2018        PMID: 30230839      PMCID: PMC6447477          DOI: 10.1021/acs.jpcb.8b07066

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  46 in total

1.  FlgM gains structure in living cells.

Authors:  Matthew M Dedmon; Chetan N Patel; Gregory B Young; Gary J Pielak
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-23       Impact factor: 11.205

2.  Structural Ensembles of Intrinsically Disordered Proteins Depend Strongly on Force Field: A Comparison to Experiment.

Authors:  Sarah Rauscher; Vytautas Gapsys; Michal J Gajda; Markus Zweckstetter; Bert L de Groot; Helmut Grubmüller
Journal:  J Chem Theory Comput       Date:  2015-10-22       Impact factor: 6.006

3.  Zn(2+)-mediated structure formation and compaction of the "natively unfolded" human prothymosin alpha.

Authors:  V N Uversky; J R Gillespie; I S Millett; A V Khodyakova; R N Vasilenko; A M Vasiliev; I L Rodionov; G D Kozlovskaya; D A Dolgikh; A L Fink; S Doniach; E A Permyakov; V M Abramov
Journal:  Biochem Biophys Res Commun       Date:  2000-01-19       Impact factor: 3.575

4.  Temperature-induced collapse of a disordered peptide observed by three sampling methods in molecular dynamics simulations.

Authors:  Alan Hicks; Huan-Xiang Zhou
Journal:  J Chem Phys       Date:  2018-08-21       Impact factor: 3.488

5.  Protein Composition Determines the Effect of Crowding on the Properties of Disordered Proteins.

Authors:  Cayla M Miller; Young C Kim; Jeetain Mittal
Journal:  Biophys J       Date:  2016-07-12       Impact factor: 4.033

6.  Intrinsically Disordered Protein Exhibits Both Compaction and Expansion under Macromolecular Crowding.

Authors:  Anthony Banks; Sanbo Qin; Kevin L Weiss; Christopher B Stanley; Huan-Xiang Zhou
Journal:  Biophys J       Date:  2018-03-13       Impact factor: 4.033

Review 7.  Intrinsic disorder in cell signaling and gene transcription.

Authors:  Agnes Tantos; Kyou-Hoon Han; Peter Tompa
Journal:  Mol Cell Endocrinol       Date:  2011-07-18       Impact factor: 4.102

8.  Minimal effects of macromolecular crowding on an intrinsically disordered protein: a small-angle neutron scattering study.

Authors:  David P Goldenberg; Brian Argyle
Journal:  Biophys J       Date:  2014-02-18       Impact factor: 4.033

9.  Method to Predict Crowding Effects by Postprocessing Molecular Dynamics Trajectories: Application to the Flap Dynamics of HIV-1 Protease.

Authors:  Sanbo Qin; David D L Minh; J Andrew McCammon; Huan-Xiang Zhou
Journal:  J Phys Chem Lett       Date:  2009-11-09       Impact factor: 6.475

10.  Further Development of the FFT-based Method for Atomistic Modeling of Protein Folding and Binding under Crowding: Optimization of Accuracy and Speed.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  J Chem Theory Comput       Date:  2014-05-06       Impact factor: 6.006

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  6 in total

Review 1.  Hybrid methods for combined experimental and computational determination of protein structure.

Authors:  Justin T Seffernick; Steffen Lindert
Journal:  J Chem Phys       Date:  2020-12-28       Impact factor: 3.488

Review 2.  Protein folding and assembly in confined environments: Implications for protein aggregation in hydrogels and tissues.

Authors:  Laura W Simpson; Theresa A Good; Jennie B Leach
Journal:  Biotechnol Adv       Date:  2020-06-06       Impact factor: 14.227

Review 3.  Amyloid Oligomers: A Joint Experimental/Computational Perspective on Alzheimer's Disease, Parkinson's Disease, Type II Diabetes, and Amyotrophic Lateral Sclerosis.

Authors:  Phuong H Nguyen; Ayyalusamy Ramamoorthy; Bikash R Sahoo; Jie Zheng; Peter Faller; John E Straub; Laura Dominguez; Joan-Emma Shea; Nikolay V Dokholyan; Alfonso De Simone; Buyong Ma; Ruth Nussinov; Saeed Najafi; Son Tung Ngo; Antoine Loquet; Mara Chiricotto; Pritam Ganguly; James McCarty; Mai Suan Li; Carol Hall; Yiming Wang; Yifat Miller; Simone Melchionna; Birgit Habenstein; Stepan Timr; Jiaxing Chen; Brianna Hnath; Birgit Strodel; Rakez Kayed; Sylvain Lesné; Guanghong Wei; Fabio Sterpone; Andrew J Doig; Philippe Derreumaux
Journal:  Chem Rev       Date:  2021-02-05       Impact factor: 60.622

4.  Transfer Free Energies of Test Proteins Into Crowded Protein Solutions Have Simple Dependence on Crowder Concentration.

Authors:  Valery Nguemaha; Sanbo Qin; Huan-Xiang Zhou
Journal:  Front Mol Biosci       Date:  2019-05-29

Review 5.  Modeling Crowded Environment in Molecular Simulations.

Authors:  Natalia Ostrowska; Michael Feig; Joanna Trylska
Journal:  Front Mol Biosci       Date:  2019-09-11

6.  Crowding affects structural dynamics and contributes to membrane association of the NS3/4A complex.

Authors:  Natalia Ostrowska; Michael Feig; Joanna Trylska
Journal:  Biophys J       Date:  2021-07-14       Impact factor: 3.699

  6 in total

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