Data–driven Modelling of Intrinsically Disordered Proteins

Kamil Tamiola

doi:10.33612/diss.96266373

Data–driven Modelling of Intrinsically Disordered Proteins

Kamil Tamiola

Biotechnology

Research output: Thesis › Thesis fully internal (DIV)

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Abstract

In this thesis we investigated the relationships between amino acid sequence and biophysical properties of intrinsically disordered proteins involved in Parkinson's and Alzheimer's disease (IDPs), gauged from NMR experiments.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	University of Groningen
Supervisors/Advisors	Janssen, Dick, Supervisor Mulder, Frans A A, Co-supervisor, External person
Award date	27-Sept-2019
Place of Publication	[Groningen]
Publisher	University of Groningen
Print ISBNs	978-94-6375-540-5
Electronic ISBNs	978-94-6375-541-2
DOIs	https://doi.org/10.33612/diss.96266373
Publication status	Published - 2019

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title = "Data–driven Modelling of Intrinsically Disordered Proteins",

abstract = "In this thesis we investigated the relationships between amino acid sequence and biophysical properties of intrinsically disordered proteins involved in Parkinson's and Alzheimer's disease (IDPs), gauged from NMR experiments.",

author = "Kamil Tamiola",

year = "2019",

doi = "10.33612/diss.96266373",

language = "English",

isbn = "978-94-6375-540-5",

publisher = "University of Groningen",

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TY - BOOK

T1 - Data–driven Modelling of Intrinsically Disordered Proteins

AU - Tamiola, Kamil

PY - 2019

Y1 - 2019

N2 - In this thesis we investigated the relationships between amino acid sequence and biophysical properties of intrinsically disordered proteins involved in Parkinson's and Alzheimer's disease (IDPs), gauged from NMR experiments.

AB - In this thesis we investigated the relationships between amino acid sequence and biophysical properties of intrinsically disordered proteins involved in Parkinson's and Alzheimer's disease (IDPs), gauged from NMR experiments.

U2 - 10.33612/diss.96266373

DO - 10.33612/diss.96266373

M3 - Thesis fully internal (DIV)

SN - 978-94-6375-540-5

PB - University of Groningen

CY - [Groningen]

ER -

Data–driven Modelling of Intrinsically Disordered Proteins

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