01418nas a2200277   4500008004100000020002200041022001400063245010700077210006900184260006800253300001200321490000900333520046000342100002000802700001900822700001900841700002100860700001900881700002600900700001800926700001400944700001900958700001900977700001600996856012801012       2009                        eng d  a978-3-642-11163-1  a0302-974300aIdentification of N-glycosylation sites with sequence and structural features employing random forests0 aIdentification of Nglycosylation sites with sequence and structu  aHEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANYbISI KolkatacDEC  a146-1510 v59093 a<p>N-Glycosylation plays a very important role in various processes like quality control of proteins produced in ER, transport of proteins and in disease control. The experimental elucidation of N-Glycosylation sites is expensive and laborious process. In this work we build models for identification of potential N-Glycosylation sites in proteins based on sequence and structural features. The best model has cross validation accuracy rate of 72.81%.</p>1 aKarnik, Shreyas1 aMitra, Joydeep1 aSingh, Arunima1 aKulkarni, B., D.1 aSundarajan, V.1 aJayaraman, Valadi, K.1 aChaudhury, S.1 aMitra, S.1 aMurthy, C., A.1 aSastry, P., S.1 aPal, S., K.  uhttps://library.ncl.res.in/content/identification-n-glycosylation-sites-sequence-and-structural-features-employing-random-0