Literature DB >> 19415895

Structures and thermodynamics of Alzheimer's amyloid-beta Abeta(16-35) monomer and dimer by replica exchange molecular dynamics simulations: implication for full-length Abeta fibrillation.

Yassmine Chebaro1, Normand Mousseau, Philippe Derreumaux.   

Abstract

Many proteins display a strand-loop-strand motif in their amyloid fibrillar states. For instance, the amyloid beta-protein, Abeta1-40, associated with Alzheimer's disease, displays a loop at positions 22-28 in its amyloid fibril state. It has been suggested that this loop could appear early in the aggregation process, but quantitative information regarding its presence in small oligomers remains scant. Because residues 1-15 are disordered in Abeta1-42 fibrils and Abeta10-35 forms fibrils in vitro, we select the peptide Abeta16-35, centered on residues 22-28 and determine the structures and thermodynamics of the monomer and dimer using coarse-grained implicit solvent replica exchange molecular dynamics simulations. Our simulations totalling 5 mus for the monomer and 12 micros for the dimer show no sign of strong secondary structure signals in both instances and the significant impact of dimerization on the global structure of Abeta16-35. They reveal however that the loop 22-28 acts as a quasi-independent unit in both species. The loop structure ensemble we report in Abeta16-35 monomer and dimer has high similarity to the loop formed by the Abeta21-30 peptide in solution and, to a lesser extent, to the loop found in Abeta1-40 fibrils. We discuss the implications of our findings on the assembly of full-length Abeta.

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Year:  2009        PMID: 19415895     DOI: 10.1021/jp900425e

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


  34 in total

Review 1.  Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches.

Authors:  Pierre Tuffery; Philippe Derreumaux
Journal:  J R Soc Interface       Date:  2011-10-12       Impact factor: 4.118

Review 2.  Biochemistry of amyloid β-protein and amyloid deposits in Alzheimer disease.

Authors:  Colin L Masters; Dennis J Selkoe
Journal:  Cold Spring Harb Perspect Med       Date:  2012-06       Impact factor: 6.915

3.  Mapping conformational ensembles of aβ oligomers in molecular dynamics simulations.

Authors:  Seongwon Kim; Takako Takeda; Dmitri K Klimov
Journal:  Biophys J       Date:  2010-09-22       Impact factor: 4.033

4.  Structural determination of Abeta25-35 micelles by molecular dynamics simulations.

Authors:  Xiang Yu; Qiuming Wang; Jie Zheng
Journal:  Biophys J       Date:  2010-07-21       Impact factor: 4.033

5.  Effect of the Tottori familial disease mutation (D7N) on the monomers and dimers of Aβ40 and Aβ42.

Authors:  Man Hoang Viet; Phuong H Nguyen; Son Tung Ngo; Mai Suan Li; Philippe Derreumaux
Journal:  ACS Chem Neurosci       Date:  2013-09-16       Impact factor: 4.418

6.  Atomic-scale simulations confirm that soluble beta-sheet-rich peptide self-assemblies provide amyloid mimics presenting similar conformational properties.

Authors:  Xiang Yu; Jingdai Wang; Jui-Chen Yang; Qiuming Wang; Stephen Z D Cheng; Ruth Nussinov; Jie Zheng
Journal:  Biophys J       Date:  2010-01-06       Impact factor: 4.033

7.  Replica exchange molecular dynamics of the thermodynamics of fibril growth of Alzheimer's Aβ42 peptide.

Authors:  Ming Han; Ulrich H E Hansmann
Journal:  J Chem Phys       Date:  2011-08-14       Impact factor: 3.488

8.  Does amino acid sequence determine the properties of Aβ dimer?

Authors:  Christopher Lockhart; Seongwon Kim; Rashmi Kumar; Dmitri K Klimov
Journal:  J Chem Phys       Date:  2011-07-21       Impact factor: 3.488

9.  Coarse-grained model for colloidal protein interactions, B(22), and protein cluster formation.

Authors:  Marco A Blanco; Erinc Sahin; Anne S Robinson; Christopher J Roberts
Journal:  J Phys Chem B       Date:  2013-12-10       Impact factor: 2.991

10.  Modulation of p53 binding to MDM2: computational studies reveal important roles of Tyr100.

Authors:  Shubhra Ghosh Dastidar; David P Lane; Chandra S Verma
Journal:  BMC Bioinformatics       Date:  2009-12-03       Impact factor: 3.169

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