Literature DB >> 28724291

Kinetic Model for Two-Step Nucleation of Peptide Assembly.

Ming-Chien Hsieh1, David G Lynn2, Martha A Grover1.   

Abstract

Intermediate dynamic assemblies are increasingly seen as necessary for the initial desolvation and organization of biomaterials to achieve their final crystalline order. Here we present a general peptide assembly model for two-step nucleation. The model predicts the phase transitions and equilibria between different phases by employing a combination of the Flory-Huggins parameter, the particle growth constant, and the binding energy to assemblies. Monte Carlo simulations are used to demonstrate how the system evolves from pure solution phases to the final thermodynamic assembly phase via an intermediate metastable particle phase. The final state of the system is determined by the solubility of the particle and assembly phases, where the phase with the lower solubility accumulates. A rare three-phase equilibrium exists when the solubilities of the particles and assemblies are similar. Experimental support for this model is achieved with assembly of the amyloid peptide Ac-KLVFFAE-NH2 (Aβ(16-22)) in mixed acetonitrile/water systems. Increasing the acetonitrile concentration decreases the number of particles, increases the particle size, and accelerates the assembly rate, all consistent with acetonitrile increasing the Aβ(16-22) peptide's solubility of particles but with little influence on the stability of the assemblies. Taken together, our model captures the transition from the metastable particle phase to the higher order peptide assembly through two-step nucleation.

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Year:  2017        PMID: 28724291     DOI: 10.1021/acs.jpcb.7b03085

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


  11 in total

Review 1.  Methods for producing microstructured hydrogels for targeted applications in biology.

Authors:  Cristobal Garcia Garcia; Kristi L Kiick
Journal:  Acta Biomater       Date:  2018-11-20       Impact factor: 8.947

Review 2.  The metastable states of proteins.

Authors:  Debasish Kumar Ghosh; Akash Ranjan
Journal:  Protein Sci       Date:  2020-04-11       Impact factor: 6.725

Review 3.  Recent progress on understanding the mechanisms of amyloid nucleation.

Authors:  Eri Chatani; Naoki Yamamoto
Journal:  Biophys Rev       Date:  2017-12-06

Review 4.  Biomolecular Assemblies: Moving from Observation to Predictive Design.

Authors:  Corey J Wilson; Andreas S Bommarius; Julie A Champion; Yury O Chernoff; David G Lynn; Anant K Paravastu; Chen Liang; Ming-Chien Hsieh; Jennifer M Heemstra
Journal:  Chem Rev       Date:  2018-10-03       Impact factor: 60.622

5.  Multistep Conformation Selection in Amyloid Assembly.

Authors:  Ming-Chien Hsieh; Chen Liang; Anil K Mehta; David G Lynn; Martha A Grover
Journal:  J Am Chem Soc       Date:  2017-11-15       Impact factor: 15.419

6.  Elucidating Self-Assembling Peptide Aggregation via Morphoscanner: A New Tool for Protein-Peptide Structural Characterization.

Authors:  Gloria A A Saracino; Federico Fontana; Shehrazade Jekhmane; João Medeiros Silva; Markus Weingarth; Fabrizio Gelain
Journal:  Adv Sci (Weinh)       Date:  2018-06-22       Impact factor: 16.806

7.  Systems Analysis for Peptide Systems Chemistry.

Authors:  Martha A Grover; Ming-Chien Hsieh; David G Lynn
Journal:  Life (Basel)       Date:  2019-07-01

8.  Supramolecular Self-Assembly To Control Structural and Biological Properties of Multicomponent Hydrogels.

Authors:  Babatunde O Okesola; Yuanhao Wu; Burak Derkus; Samar Gani; Dongsheng Wu; Dafna Knani; David K Smith; Dave J Adams; Alvaro Mata
Journal:  Chem Mater       Date:  2019-09-12       Impact factor: 9.811

9.  Glycosylation of a Nonfibrillizing Appendage Alters the Self-Assembly Pathway of a Synthetic β-Sheet Fibrillizing Peptide.

Authors:  Ran Zuo; Renjie Liu; Juanpablo Olguin; Gregory A Hudalla
Journal:  J Phys Chem B       Date:  2021-06-15       Impact factor: 3.466

10.  A supramolecular protein chaperone for vaccine delivery.

Authors:  Zhongyan Wang; Yuna Shang; Zhaoqi Tan; Xiaoyan Li; Guoliang Li; Chunhua Ren; Fuqiang Wang; Zhimou Yang; Jianfeng Liu
Journal:  Theranostics       Date:  2020-01-01       Impact factor: 11.556

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