Identification of proteins secreted by malaria parasite into erythrocyte using SVM and PSSM profiles.

ABSTRACT:

Background

Malaria parasite secretes various proteins in infected RBC for its growth and survival. Thus identification of these secretory proteins is important for developing vaccine/drug against malaria. The existing motif-based methods have got limited success due to lack of universal motif in all secretory proteins of malaria parasite.

Results

In this study a systematic attempt has been made to develop a general method for predicting secretory proteins of malaria parasite. All models were trained and tested on a non-redundant dataset of 252 secretory and 252 non-secretory proteins. We developed SVM models and achieved maximum MCC 0.72 with 85.65% accuracy and MCC 0.74 with 86.45% accuracy using amino acid and dipeptide composition respectively. SVM models were developed u

SUBMITTER: Verma R 

PROVIDER: S-EPMC2358896 | biostudies-literature | 2008 Apr

REPOSITORIES: biostudies-literature