Literature DB >> 18206291

How native proteins aggregate in solution: a dynamic Monte Carlo simulation.

Lin Zhang1, Diannan Lu, Zheng Liu.   

Abstract

Aggregation of native proteins in solution is of fundamental importance with regard to both the processing and the utilization of proteins. In the present work, a dynamic Monte Carlo simulation has been performed to give a molecular insight into the way in which native proteins aggregate in solution and to explore means of suppressing aggregation, using two proteins of different compositions and conformations represented by a two-dimensional (2D) lattice model (HP model). It is shown that the native HP protein with accessible hydrophobic beads on its surface is prone to aggregation. The aggregation of this protein is intensified when the solution conditions favor the partially unfolded conformation as opposed to either the native or fully unfolded conformations. In this case, the partially unfolded proteins form the cores of aggregates, which may also encapsulate the native protein. One way to inhibit protein aggregation is to introduce polymers of appropriate hydrophobicity and chain length into the solution, such that these polymer molecules wrap around the hydrophobic regions of both the unfolded and folded proteins, thereby segregating the protein molecules. Our simulation is consistent with experimental observations reported elsewhere and provides a molecular basis for the behavior of proteins in liquid environments.

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Year:  2007        PMID: 18206291     DOI: 10.1016/j.bpc.2007.12.008

Source DB:  PubMed          Journal:  Biophys Chem        ISSN: 0301-4622            Impact factor:   2.352


  3 in total

1.  A molecular simulation study of the protection of insulin bioactive structure by trehalose.

Authors:  Daixi Li; Li Liu; Huaxing Yu; Zhen Zhai; Yan Zhang; Baisong Guo; Chunsheng Yang; Baolin Liu
Journal:  J Mol Model       Date:  2014-10-28       Impact factor: 1.810

Review 2.  Aggregation of biologically important peptides and proteins: inhibition or acceleration depending on protein and metal ion concentrations.

Authors:  Benjamin Gabriel Poulson; Kacper Szczepski; Joanna Izabela Lachowicz; Lukasz Jaremko; Abdul-Hamid Emwas; Mariusz Jaremko
Journal:  RSC Adv       Date:  2019-12-24       Impact factor: 4.036

3.  Construction of an implicit membrane environment for the lattice Monte Carlo simulation of transmembrane protein.

Authors:  Yantao Chen; Mingliang Wang; Qianling Zhang; Jianhong Liu
Journal:  Biophys Chem       Date:  2009-12-28       Impact factor: 2.352

  3 in total

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