Literature DB >> 32357776

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

Jonathan Huihui1, Kingshuk Ghosh1.   

Abstract

Intrinsically Disordered Proteins (IDPs), unlike folded proteins, lack a unique folded structure and rapidly interconvert among ensembles of disordered states. However, they have specific conformational properties when averaged over their ensembles of disordered states. It is critical to develop a theoretical formalism to predict these ensemble average conformational properties that are encoded in the IDP sequence (the specific order in which amino acids/residues are linked). We present a general heteropolymer theory that analytically computes the ensemble average distance profiles (⟨Rij 2⟩) between any two (i, j) monomers (amino acids for IDPs) as a function of the sequence. Information rich distance profiles provide a detailed description of the IDP in contrast to typical metrics such as scaling exponents, radius of gyration, or end-to-end distance. This generalized formalism supersedes homopolymer-like models or models that are built only on the composition of amino acids but ignore sequence details. The prediction of these distance profiles for highly charged polyampholytes and naturally occurring IDPs unmasks salient features that are hidden in the sequence. Moreover, the model reveals strategies to modulate the entire distance map to achieve local or global swelling/compaction by subtle changes/modifications-such as phosphorylation, a biologically relevant process-in specific hotspots in the sequence. Sequence-specific distance profiles and their modulation have been benchmarked against all-atom simulations. Our new formalism also predicts residue-pair specific coil-globule transitions. The analytical nature of the theory will facilitate design of new sequences to achieve specific target distance profiles with broad applications in synthetic biology and polymer science.

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Year:  2020        PMID: 32357776      PMCID: PMC7180065          DOI: 10.1063/5.0004619

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  54 in total

1.  Temperature dependence of protein folding kinetics in living cells.

Authors:  Minghao Guo; Yangfan Xu; Martin Gruebele
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-04       Impact factor: 11.205

2.  Sequence determinants of compaction in intrinsically disordered proteins.

Authors:  Joseph A Marsh; Julie D Forman-Kay
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

3.  Convergence of Molecular Dynamics Simulation of Protein Native States: Feasibility vs Self-Consistency Dilemma.

Authors:  Lucas Sawle; Kingshuk Ghosh
Journal:  J Chem Theory Comput       Date:  2016-01-26       Impact factor: 6.006

4.  Dynamic condensates activate transcription.

Authors:  Aaron J Plys; Robert E Kingston
Journal:  Science       Date:  2018-07-27       Impact factor: 47.728

5.  Polymer scaling laws of unfolded and intrinsically disordered proteins quantified with single-molecule spectroscopy.

Authors:  Hagen Hofmann; Andrea Soranno; Alessandro Borgia; Klaus Gast; Daniel Nettels; Benjamin Schuler
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-14       Impact factor: 11.205

6.  Intrinsic disorder: signaling via highly specific but short-lived association.

Authors:  Huan-Xiang Zhou
Journal:  Trends Biochem Sci       Date:  2011-12-07       Impact factor: 13.807

7.  Complete Phase Diagram for Liquid-Liquid Phase Separation of Intrinsically Disordered Proteins.

Authors:  James McCarty; Kris T Delaney; Scott P O Danielsen; Glenn H Fredrickson; Joan-Emma Shea
Journal:  J Phys Chem Lett       Date:  2019-03-27       Impact factor: 6.475

8.  Biomolecular interactions modulate macromolecular structure and dynamics in atomistic model of a bacterial cytoplasm.

Authors:  Isseki Yu; Takaharu Mori; Tadashi Ando; Ryuhei Harada; Jaewoon Jung; Yuji Sugita; Michael Feig
Journal:  Elife       Date:  2016-11-01       Impact factor: 8.140

9.  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

10.  Balanced Protein-Water Interactions Improve Properties of Disordered Proteins and Non-Specific Protein Association.

Authors:  Robert B Best; Wenwei Zheng; Jeetain Mittal
Journal:  J Chem Theory Comput       Date:  2014-10-16       Impact factor: 6.006

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  9 in total

1.  Competing interactions give rise to two-state behavior and switch-like transitions in charge-rich intrinsically disordered proteins.

Authors:  Xiangze Zeng; Kiersten M Ruff; Rohit V Pappu
Journal:  Proc Natl Acad Sci U S A       Date:  2022-05-05       Impact factor: 12.779

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

Authors:  Jonathan Huihui; Kingshuk Ghosh
Journal:  Biophys J       Date:  2021-04-15       Impact factor: 4.033

3.  Can sequence-specific and dynamics-based metrics allow us to decipher the function in IDP sequences?

Authors:  S Banu Ozkan
Journal:  Biophys J       Date:  2021-04-16       Impact factor: 4.033

Review 4.  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

Review 5.  Protein folding and surface interaction phase diagrams in vitro and in cells.

Authors:  Martin Gruebele
Journal:  FEBS Lett       Date:  2021-03-27       Impact factor: 4.124

Review 6.  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

Review 7.  Rules of Physical Mathematics Govern Intrinsically Disordered Proteins.

Authors:  Kingshuk Ghosh; Jonathan Huihui; Michael Phillips; Austin Haider
Journal:  Annu Rev Biophys       Date:  2022-02-04       Impact factor: 19.763

8.  RNA chain length and stoichiometry govern surface tension and stability of protein-RNA condensates.

Authors:  Rabia Laghmach; Ibraheem Alshareedah; Matthew Pham; Muralikrishna Raju; Priya R Banerjee; Davit A Potoyan
Journal:  iScience       Date:  2022-03-18

Review 9.  A Mechanistic Model for Cell Cycle Control in Which CDKs Act as Switches of Disordered Protein Phase Separation.

Authors:  Liliana Krasinska; Daniel Fisher
Journal:  Cells       Date:  2022-07-13       Impact factor: 7.666

  9 in total

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