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Computationally derived structural models of the beta-amyloid found in Alzheimer's disease plaques and the interaction with possible aggregation inhibitors by A. R. George; D. R. Howlett is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Computationally derived structural models of the beta-amyloid found in Alzheimer's disease plaques and the interaction with possible aggregation inhibitors about?

We report the modeling of and possible interactions within the solid beta-amyloid (ABeta) 1-43 fibril, the most fibrillogenic peptide known. All models proposed are consistent with the known experimental structural data, in terms of both secondary structure and packing motifs. The model containing antiparallel beta-sheets, and a beta-turn at G(25)S(26)N(27)K(28) has the lowest calculated packing energy. As such, it can be considered a reasonable model for solid beta-amyloid in Alzheimer's disease plaques. Interestingly, with the turn located at this position, the 1-43 structure is stabilized by a number of complementary intermolecular interactions between the beta-sheets. These well-defined interactions exist for the side-chain residues of 41, 42, and 43 with adjacent ABeta molecules. These interactions would not be conserved in the 1-40 peptide, and indeed, this enhanced interaction is proposed to give rise to the increased fibrillogenic nature of the ABeta 1-43 species over the 1-40 form. The models are used to explain the increased fibrillogenic nature of the Dutch family mutation of ABeta. These models are also employed to examine possible docking interactions of previously rep

Who reads Computationally derived structural models of the beta-amyloid found in Alzheimer's disease plaques and the interaction with possible aggregation inhibitors?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
A. R. George; D. R. Howlett
Publisher
Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0006-3525)
Published
1999
Language
EN
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)

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