DocumentCode
1712972
Title
Statistical analysis of protein molecules
Author
Shah, Kushal
Author_Institution
Department of Electrical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India
fYear
2013
Firstpage
1
Lastpage
5
Abstract
In this paper, entropy and auto-correlation values of main chain dihedral angles of 22,356 protein molecules (with less than 90% sequence identity, and downloaded from the RCSB Protein Data Bank) are calculated and found to lie within a well specified range for most proteins. Also, the entropy values obey a Gaussian distribution, which indicates that entropy plays a crucial role in evolution and conservation of protein tertiary structures. A comparison of the auto-correlation values of the dihedral angles of the entire protein molecule with those of the alpha helices and beta sheets indicates that random coils play an important role in determining the tertiary structure of protein molecules.
Keywords
Bioinformatics; Correlation; Entropy; Genomics; Probability distribution; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (NCC), 2013 National Conference on
Conference_Location
New Delhi, India
Print_ISBN
978-1-4673-5950-4
Electronic_ISBN
978-1-4673-5951-1
Type
conf
DOI
10.1109/NCC.2013.6488007
Filename
6488007
Link To Document