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This is a web-server for predicting
proteins secreted by Malarial Parasite P.falciparum into
infected-erythrocyte. It is based on SVM method using amino acid
composition module we have achieved maximum accuracy 83.2%. The method
predicts the secretory proteins at the rate of 0.1%
false prediction. The method is trained and tested on a dataset of
504 Plasmodium falciparum proteins (252 secretory & 252 non-secretory proteins)
and evaluated using leave-one out cross-validation technique. The protein used for developing our method were obtained from PLASMODB, a database of plasmodium genome.
