Computational approach for the prediction of ERF and DREB proteins in indica rice using support vector machine

Hemalatha, N.Rajesh, M.K.Narayanan, N.K.2014-06-052014-06-052012Oryza Vol. 49. No. 4, 2012 (239-245)http://hdl.handle.net/123456789/2422Drought and salt stress are considered to be major impediments in rice production systems. To understand the genetics of tolerance to these abiotic stresses and develop drought/salt tolerant cultivars, genomic regions influencing yield and its response to water deficit have to be identified. A method for predicting two drought tolerant proteins viz. dehydration-responsive element binding proteins (DREB) and ethylene responsive factor (ERF) in the genome of indica rice has been described. The proposed method, ERFDREBSVMPRED, was developed using support vector machine and a prediction accuracy of 89% for DREB and 81% for ERF was achieved. The developed tool could predict DREB protein with 100% specificity at a 71% sensitivity rate and ERF protein with 100% specificity at a 60% sensitivity rate.enriceERFDREBproteinsupport vector machineComputational approach for the prediction of ERF and DREB proteins in indica rice using support vector machineArticle