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Computational modelling of the human...

Skeby, Katrine Kirkeby.

Computational modelling of the human islet amyloid polypeptide

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational modelling of the human islet amyloid polypeptideby Katrine Kirkeby Skeby.
作者:	Skeby, Katrine Kirkeby.
出版者:	Cham :Springer International Publishing :2016.
面頁冊數:	xvi, 118 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	AmyloidSimulation methods.
電子資源:	http://dx.doi.org/10.1007/978-3-319-20040-8
ISBN:	9783319200408$q(electronic bk.)

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$q(electronic bk.)

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

747286
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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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.
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