Identification of N-glycosylation sites with sequence and structural features employing random forests
| Title | Identification of N-glycosylation sites with sequence and structural features employing random forests |
| Publication Type | Journal Article |
| Year of Publication | 2009 |
| Authors | Karnik, S, Mitra, J, Singh, A, Kulkarni, BD, Sundarajan, V, Jayaraman, VK |
| Secondary Authors | Chaudhury, S, Mitra, S, Murthy, CA, Sastry, PS, Pal, SK |
| Journal | Pattern Recognition and Machine Intelligence, Proceedings |
| Volume | 5909 |
| Pagination | 146-151 |
| Date Published | DEC |
| ISBN Number | 978-3-642-11163-1 |
| ISSN | 0302-9743 |
| Abstract | 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%. |
| Type of Journal (Indian or Foreign) | Foreign |
| Impact Factor (IF) | 2.607 |
Divison category:
Chemical Engineering & Process Development