Literature DB >> 32227994

Hydropathy Patterning Complements Charge Patterning to Describe Conformational Preferences of Disordered Proteins.

Wenwei Zheng1, Gregory Dignon2, Matthew Brown1, Young C Kim3, Jeetain Mittal2.   

Abstract

Understanding the conformational ensemble of an intrinsically disordered protein (IDP) is of great interest due to its relevance to critical intracellular functions and diseases. It is now well established that the polymer scaling behavior can provide a great deal of information about the conformational properties as well as liquid-liquid phase separation of an IDP. It is, therefore, extremely desirable to be able to predict an IDP's scaling behavior from the protein sequence itself. The work in this direction so far has focused on highly charged proteins and how charge patterning can perturb their structural properties. As naturally occurring IDPs are composed of a significant fraction of uncharged amino acids, the rules based on charge content and patterning are only partially helpful in solving the problem. Here, we propose a new order parameter, sequence hydropathy decoration, which can provide a near-quantitative understanding of scaling and structural properties of IDPs devoid of charged residues. We combine this with a charge patterning parameter, sequence charge decoration, to obtain a general equation, parametrized from extensive coarse-grained simulation data, for predicting protein dimensions from the sequence. We finally test this equation against available experimental data and find a semiquantitative match in predicting the scaling behavior. We also provide guidance on how to extend this approach to experimental data, which should be feasible in the near future.

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Year:  2020        PMID: 32227994      PMCID: PMC7450210          DOI: 10.1021/acs.jpclett.0c00288

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  60 in total

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Journal:  Cell       Date:  2015-08-27       Impact factor: 41.582

3.  Conformational Heterogeneity and FRET Data Interpretation for Dimensions of Unfolded Proteins.

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Journal:  Biophys J       Date:  2017-09-05       Impact factor: 4.033

4.  Phase Separation and Single-Chain Compactness of Charged Disordered Proteins Are Strongly Correlated.

Authors:  Yi-Hsuan Lin; Hue Sun Chan
Journal:  Biophys J       Date:  2017-05-05       Impact factor: 4.033

5.  Evolution of All-Atom Protein Force Fields to Improve Local and Global Properties.

Authors:  Gül H Zerze; Wenwei Zheng; Robert B Best; Jeetain Mittal
Journal:  J Phys Chem Lett       Date:  2019-04-22       Impact factor: 6.475

6.  ALS Mutations Disrupt Phase Separation Mediated by α-Helical Structure in the TDP-43 Low-Complexity C-Terminal Domain.

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7.  Tuning the globular assembly of hydrophobic/hydrophilic heteropolymer sequences.

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8.  Charge fluctuation effects on the shape of flexible polyampholytes with applications to intrinsically disordered proteins.

Authors:  Himadri S Samanta; Debayan Chakraborty; D Thirumalai
Journal:  J Chem Phys       Date:  2018-10-28       Impact factor: 3.488

9.  DisProt: the Database of Disordered Proteins.

Authors:  Megan Sickmeier; Justin A Hamilton; Tanguy LeGall; Vladimir Vacic; Marc S Cortese; Agnes Tantos; Beata Szabo; Peter Tompa; Jake Chen; Vladimir N Uversky; Zoran Obradovic; A Keith Dunker
Journal:  Nucleic Acids Res       Date:  2006-12-01       Impact factor: 16.971

10.  Sequence determinants of protein phase behavior from a coarse-grained model.

Authors:  Gregory L Dignon; Wenwei Zheng; Young C Kim; Robert B Best; Jeetain Mittal
Journal:  PLoS Comput Biol       Date:  2018-01-24       Impact factor: 4.475

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  14 in total

1.  LCD-Composer: an intuitive, composition-centric method enabling the identification and detailed functional mapping of low-complexity domains.

Authors:  Sean M Cascarina; David C King; Erin Osborne Nishimura; Eric D Ross
Journal:  NAR Genom Bioinform       Date:  2021-05-26

2.  Properties of protein unfolded states suggest broad selection for expanded conformational ensembles.

Authors:  Micayla A Bowman; Joshua A Riback; Anabel Rodriguez; Hongyu Guo; Jun Li; Tobin R Sosnick; Patricia L Clark
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-02       Impact factor: 11.205

3.  An analytical theory to describe sequence-specific inter-residue distance profiles for polyampholytes and intrinsically disordered proteins.

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Journal:  J Chem Phys       Date:  2020-04-30       Impact factor: 3.488

4.  Intrachain interaction topology can identify functionally similar intrinsically disordered proteins.

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5.  A predictive coarse-grained model for position-specific effects of post-translational modifications.

Authors:  Theodora Myrto Perdikari; Nina Jovic; Gregory L Dignon; Young C Kim; Nicolas L Fawzi; Jeetain Mittal
Journal:  Biophys J       Date:  2021-02-12       Impact factor: 4.033

Review 6.  Physics-based computational and theoretical approaches to intrinsically disordered proteins.

Authors:  Joan-Emma Shea; Robert B Best; Jeetain Mittal
Journal:  Curr Opin Struct Biol       Date:  2021-02-02       Impact factor: 6.809

7.  Using a sequence-specific coarse-grained model for studying protein liquid-liquid phase separation.

Authors:  Roshan Mammen Regy; Wenwei Zheng; Jeetain Mittal
Journal:  Methods Enzymol       Date:  2020-08-17       Impact factor: 1.600

8.  Phase separation in fluids with many interacting components.

Authors:  Krishna Shrinivas; Michael P Brenner
Journal:  Proc Natl Acad Sci U S A       Date:  2021-11-09       Impact factor: 11.205

Review 9.  The Protein Folding Problem: The Role of Theory.

Authors:  Roy Nassar; Gregory L Dignon; Rostam M Razban; Ken A Dill
Journal:  J Mol Biol       Date:  2021-07-03       Impact factor: 6.151

10.  Biomolecular Condensates: Sequence Determinants of Phase Separation, Microstructural Organization, Enzymatic Activity, and Material Properties.

Authors:  Benjamin S Schuster; Roshan Mammen Regy; Elliott M Dolan; Aishwarya Kanchi Ranganath; Nina Jovic; Sagar D Khare; Zheng Shi; Jeetain Mittal
Journal:  J Phys Chem B       Date:  2021-03-04       Impact factor: 3.466

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