Literature DB >> 26236019

Soft matter perspective on protein crystal assembly.

Diana Fusco1, Patrick Charbonneau2.   

Abstract

Crystallography may be the gold standard of protein structure determination, but obtaining the necessary high-quality crystals is also in some ways akin to prospecting for the precious metal. The tools and models developed in soft matter physics to understand colloidal assembly offer some insights into the problem of crystallizing proteins. This topical review describes the various analogies that have been made between proteins and colloids in that context. We highlight the explanatory power of patchy particle models, but also the challenges of providing guidance for crystallizing specific proteins. We conclude with a presentation of possible future research directions. This review is intended for soft matter scientists interested in protein crystallization as a self-assembly problem, and as an introduction to the pertinent physics literature for protein scientists more generally.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Patchy particle models; Protein crystallization; Protein phase diagram

Mesh:

Substances:

Year:  2015        PMID: 26236019     DOI: 10.1016/j.colsurfb.2015.07.023

Source DB:  PubMed          Journal:  Colloids Surf B Biointerfaces        ISSN: 0927-7765            Impact factor:   5.268


  12 in total

1.  Temperature-Dependent Interactions Explain Normal and Inverted Solubility in a γD-Crystallin Mutant.

Authors:  Amir R Khan; Susan James; Michelle K Quinn; Irem Altan; Patrick Charbonneau; Jennifer J McManus
Journal:  Biophys J       Date:  2019-07-19       Impact factor: 4.033

2.  Modeling the depletion effect caused by an addition of polymer to monoclonal antibody solutions.

Authors:  Yu V Kalyuzhnyi; V Vlachy
Journal:  J Phys Condens Matter       Date:  2018-11-12       Impact factor: 2.333

3.  Minimal physical requirements for crystal growth self-poisoning.

Authors:  Stephen Whitelam; Yuba Raj Dahal; Jeremy D Schmit
Journal:  J Chem Phys       Date:  2016-02-14       Impact factor: 3.488

4.  Modeling phase transitions in mixtures of β-γ lens crystallins.

Authors:  Miha Kastelic; Yurij V Kalyuzhnyi; Vojko Vlachy
Journal:  Soft Matter       Date:  2016-08-15       Impact factor: 3.679

Review 5.  Computational crystallization.

Authors:  Irem Altan; Patrick Charbonneau; Edward H Snell
Journal:  Arch Biochem Biophys       Date:  2016-01-11       Impact factor: 4.013

6.  Theory for the Liquid-Liquid Phase Separation in Aqueous Antibody Solutions.

Authors:  Miha Kastelic; Vojko Vlachy
Journal:  J Phys Chem B       Date:  2018-01-27       Impact factor: 2.991

Review 7.  The "Sticky Patch" Model of Crystallization and Modification of Proteins for Enhanced Crystallizability.

Authors:  Zygmunt S Derewenda; Adam Godzik
Journal:  Methods Mol Biol       Date:  2017

8.  Breakdown of the law of rectilinear diameter and related surprises in the liquid-vapor coexistence in systems of patchy particles.

Authors:  Jorge R Espinosa; Adiran Garaizar; Carlos Vega; Daan Frenkel; Rosana Collepardo-Guevara
Journal:  J Chem Phys       Date:  2019-06-14       Impact factor: 3.488

Review 9.  What macromolecular crystallogenesis tells us - what is needed in the future.

Authors:  Richard Giegé
Journal:  IUCrJ       Date:  2017-05-24       Impact factor: 4.769

10.  Classification of crystallization outcomes using deep convolutional neural networks.

Authors:  Andrew E Bruno; Patrick Charbonneau; Janet Newman; Edward H Snell; David R So; Vincent Vanhoucke; Christopher J Watkins; Shawn Williams; Julie Wilson
Journal:  PLoS One       Date:  2018-06-20       Impact factor: 3.240

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