![](/images/graphics-bg.png)
Evolutionary Influenced Interaction Pattern as Indicator for the Investigation of Natural Variants Causing Nephrogenic Diabetes Insipidus
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-28
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The importance of short membrane sequence motifs has been shown in many works and emphasizes the related sequence motif analysis.
Together with specific transmembrane helix-helix interactions, the analysis of interacting sequence parts is helpful for understanding the process during membrane protein folding and in retaining the three-dimensional fold.
Here we present a simple high-throughput analysis method for deriving mutational information of interacting sequence parts.
Applied on aquaporin water channel proteins, our approach supports the analysis of mutational variants within different interacting subsequences and finally the investigation of natural variants which cause diseases like, for example, nephrogenic diabetes insipidus.
In this work we demonstrate a simple method for massive membrane protein data analysis.
As shown, the presented in silico analyses provide information about interacting sequence parts which are constrained by protein evolution.
We present a simple graphical visualization medium for the representation of evolutionary influenced interaction pattern pairs (EIPPs) adapted to mutagen investigations of aquaporin-2, a protein whose mutants are involved in the rare endocrine disorder known as nephrogenic diabetes insipidus, and membrane proteins in general.
Furthermore, we present a new method to derive new evolutionary variations within EIPPs which can be used for further mutagen laboratory investigations.
American Psychological Association (APA)
Grunert, Steffen& Labudde, Dirk. 2015. Evolutionary Influenced Interaction Pattern as Indicator for the Investigation of Natural Variants Causing Nephrogenic Diabetes Insipidus. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1057960
Modern Language Association (MLA)
Grunert, Steffen& Labudde, Dirk. Evolutionary Influenced Interaction Pattern as Indicator for the Investigation of Natural Variants Causing Nephrogenic Diabetes Insipidus. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1057960
American Medical Association (AMA)
Grunert, Steffen& Labudde, Dirk. Evolutionary Influenced Interaction Pattern as Indicator for the Investigation of Natural Variants Causing Nephrogenic Diabetes Insipidus. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1057960
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057960