DocumentCode :
3703265
Title :
Identification of relevant physico chemical properties of amino acids with respect to protein glycosylation prediction
Author :
Sagnik Banerjee;Basudeb Mitra;Avimita Chatterjee;Arnab Santra;Baisakhi Chatterjee
Author_Institution :
Department of Electronics and Communication Engineering, Institute of Engineering and Management, Kolkata, India
fYear :
2015
Firstpage :
1
Lastpage :
7
Abstract :
Glycosylation is the process of adding carbohydrates to a protein residue. It is an important part of post-translational modification undergone by protein chains. Over 40 disorders have been linked to improper glycosylation bonds, over 80% of which affect the nervous system. Our aim is to study glycosylation in proteins and to understand the properties that affect this change. A detailed study using support vector machines has given us a computer that accurately predicts 79% percent of the possibility of positive glycan-bond. In this paper we attempt to discuss the entire study and our conclusions. We target to find out which of the physicochemical properties of amino acids are relevant for glycosylation.
Keywords :
"Proteins","Amino acids","Support vector machines","Computer science","Cancer","Training","Organisms"
Publisher :
ieee
Conference_Titel :
Computing and Communication (IEMCON), 2015 International Conference and Workshop on
Type :
conf
DOI :
10.1109/IEMCON.2015.7344520
Filename :
7344520
Link To Document :
بازگشت