DocumentCode :
2924136
Title :
Mathematical Analysis of Diabetes Related Proteins Having High Sequence Complexity
Author :
Rao, Allam Appa ; Bhremeramba ; Sridhar, G.R.
Author_Institution :
Dept. of Comput. Sci. & Syst. Eng., Andhra Univ., Visakhapatnam
fYear :
2006
fDate :
Nov. 2006
Firstpage :
810
Lastpage :
821
Abstract :
We have searched for proteins affecting diabetes and we also found in which common species these proteins were more prevalent and have performed protein composition analysis of those having high sequence complexity. About 90% of rat genes have counterparts in the mouse and human genomes and this is the reason to find proteins common among the three different species (Rat Genome Sequencing Consortium 2004, www.ratbehaviour.org/Ratsmice.htm). The distribution pattern of the protein variates was examined and bivariate plots were further drawn. The bivariate plots show a similar clustering for Rattus norvegicus and Mus musculus but show some variation in Homo sapiens indicating that the plots are correct as Rattus norvegicus and Mus musculus are relatively close in the phylogenetic tree (Sridhar, GR. et al) hence having a similar clustering. The proteins which are away from the cluster are outliers due to the reason that they are having different compositional characteristics
Keywords :
biology computing; diseases; genetics; mathematical analysis; proteins; Homo sapiens; Mus musculus; Rattus norvegicus; diabetes; human genome; mathematical analysis; mouse genome; phylogenetic tree; protein composition analysis; protein variate distribution pattern; rat genes; sequence complexity; Artificial intelligence; Biochemistry; Bioinformatics; Computer science; Diabetes; Genomics; Mathematical analysis; Organisms; Protein engineering; Sequences; Comparative genomics; compositional analysis; sequence complexity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2006. ICTAI '06. 18th IEEE International Conference on
Conference_Location :
Arlington, VA
ISSN :
1082-3409
Print_ISBN :
0-7695-2728-0
Type :
conf
DOI :
10.1109/ICTAI.2006.79
Filename :
4031977
Link To Document :
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