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Computational modelling of the human...

Skeby, Katrine Kirkeby.

Computational modelling of the human islet amyloid polypeptide

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computational modelling of the human islet amyloid polypeptide/ by Katrine Kirkeby Skeby.
Author:	Skeby, Katrine Kirkeby.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xvi, 118 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Amyloid - Simulation methods. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-20040-8
ISBN:	9783319200408

Computational modelling of the human islet amyloid polypeptide
Skeby, Katrine Kirkeby.

Computational modelling of the human islet amyloid polypeptide[electronic resource] /by Katrine Kirkeby Skeby. - Cham :Springer International Publishing :2016. - xvi, 118 p. :ill. (some col.), digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

Amyloid and Amyloid Fibrils -- Computational Theory -- Imaging Agent Binding to Amyloid Protofibrils -- Determining the Aggregation Prone Structure of hiAPP -- Effect of Terminal Capping on Aggregation of Peptide Fragments -- Coarse Grained Study of Amyloid Protofibril Aggregation -- Conclusion and Perspectives.

This thesis offers readers a comprehensive introduction to amyloid proteins and the computational methods used with them. Katrine Skeby critically assesses and compares both the literature and the experiments performed by other researchers, which further elevates the quality and relevance of her own work. Amyloid proteins are highly complex, and this research provides unparalleled insights, especially with regard to the origin of cytotoxicity and to developing technologies for early detection, revealing in detail the molecular mechanisms behind hIAPP behavior. Several studies within the thesis answer difficult questions which promote future research into the properties of amyloid proteins.

ISBN: 9783319200408

Standard No.: 10.1007/978-3-319-20040-8doiSubjects--Topical Terms:

1108699
Amyloid
--Simulation methods.

LC Class. No.: QP552.A45

Dewey Class. No.: 572.68

Computational modelling of the human islet amyloid polypeptide
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100 1 $a Skeby, Katrine Kirkeby. $3 1108698
245 1 0 $a Computational modelling of the human islet amyloid polypeptide $h [electronic resource] / $c by Katrine Kirkeby Skeby.
260 $a Cham : $c 2016. $b Springer International Publishing : $b Imprint: Springer,
300 $a xvi, 118 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5053
505 0 $a Amyloid and Amyloid Fibrils -- Computational Theory -- Imaging Agent Binding to Amyloid Protofibrils -- Determining the Aggregation Prone Structure of hiAPP -- Effect of Terminal Capping on Aggregation of Peptide Fragments -- Coarse Grained Study of Amyloid Protofibril Aggregation -- Conclusion and Perspectives.
520 $a This thesis offers readers a comprehensive introduction to amyloid proteins and the computational methods used with them. Katrine Skeby critically assesses and compares both the literature and the experiments performed by other researchers, which further elevates the quality and relevance of her own work. Amyloid proteins are highly complex, and this research provides unparalleled insights, especially with regard to the origin of cytotoxicity and to developing technologies for early detection, revealing in detail the molecular mechanisms behind hIAPP behavior. Several studies within the thesis answer difficult questions which promote future research into the properties of amyloid proteins.
650 0 $a Amyloid $x Simulation methods. $3 1108699
650 0 $a Proteins $x Metabolism $x Disorders $x Simulation methods. $3 1108700
650 1 4 $a Chemistry. $3 593913
650 2 4 $a Medicinal Chemistry. $3 668872
650 2 4 $a Computer Applications in Chemistry. $3 672434
650 2 4 $a Bioorganic Chemistry. $3 677511
710 2 $a SpringerLink (Online service) $3 593884
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830 0 $a Springer theses. $3 831604
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-20040-8
950 $a Chemistry and Materials Science (Springer-11644)

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