Identification of DNA-binding proteins using support vector machines and evolutionary profiles |
| |
| Authors: | Manish Kumar Michael M Gromiha Gajendra PS Raghava |
| |
| Affiliation: | (1) Bioinformatics Centre, Institute of Microbial Technology, Sector 39A, Chandigarh, 160036, India;(2) Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology, AIST Tokyo Waterfront Bio-IT Research Building, 2-42 Aomi, Koto-ku, Tokyo 135-0064, Japan |
| |
| Abstract: | Background Identification of DNA-binding proteins is one of the major challenges in the field of genome annotation, as these proteins play a crucial role in gene-regulation. In this paper, we developed various SVM modules for predicting DNA-binding domains and proteins. All models were trained and tested on multiple datasets of non-redundant proteins. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
