Publication: Probing protein folding dynamics using multivariate statistical techniques
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KU-Authors
KU Authors
Co-Authors
Palazoglu, Ahmet
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Embargo Status
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Abstract
The study of protein folding and its ramifications in biological contexts is at the heart of computational biology. In this paper, we discuss a number of tools in systems engineering that would provide an analysis framework to help explain the observed dynamic behavior of the protein, ultimately making the connection between protein structure and functionality. A case study of villin headpiece folding using principal components analysis as well as clustering demonstrates the potential of these tools in responding to this challenge.
Source
Publisher
IFAC
Subject
Chemical and biological engineering
Citation
Has Part
Source
IFAC Proceedings Volumes (IFAC-PapersOnline)
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Edition
DOI
10.3182/20090712-4-tr-2008.00025