Literature DB >> 19799382

Tuning the globular assembly of hydrophobic/hydrophilic heteropolymer sequences.

Henry S Ashbaugh.   

Abstract

We propose a heteropolymer design scheme to tune monomer distributions that stabilize or destabilize the collapsed globular conformation relative to random sequencing. Polymer sequences trained via globular templating are mapped to a one-dimensional Ising-like model, and inverse Monte Carlo simulations are performed to determine an effective interaction between monomers that reproduces intrasequence correlations. Heteropolymer sequences generated using this effective interaction quantitatively reproduce the coil-to-globule transition with increasing polymer hydrophobicity observed for templated sequences. Through potential scaling, the range of transition hydrophobic fractions required to collapse the polymer opens up by a factor of 2, from a minimum fraction of 17% to a maximum of 32% for the longest polymers simulated. Collapsed conformations are favored by sequences in which there is intermediate segregation of hydrophobic and hydrophilic units along the backbone, while monomer integration favors coils.

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Year:  2009        PMID: 19799382     DOI: 10.1021/jp907398r

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


  7 in total

1.  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

Review 2.  Biomolecular Phase Separation: From Molecular Driving Forces to Macroscopic Properties.

Authors:  Gregory L Dignon; Robert B Best; Jeetain Mittal
Journal:  Annu Rev Phys Chem       Date:  2020-04-20       Impact factor: 12.703

3.  Multiscale Modeling of Protein-RNA Condensation in and Out of Equilibrium.

Authors:  Rabia Laghmach; Isha Malhotra; Davit A Potoyan
Journal:  Methods Mol Biol       Date:  2023

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

Authors:  Wenwei Zheng; Gregory Dignon; Matthew Brown; Young C Kim; Jeetain Mittal
Journal:  J Phys Chem Lett       Date:  2020-04-17       Impact factor: 6.475

Review 5.  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 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

7.  A coarse-grained protein model in a water-like solvent.

Authors:  Sumit Sharma; Sanat K Kumar; Sergey V Buldyrev; Pablo G Debenedetti; Peter J Rossky; H Eugene Stanley
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

  7 in total

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